Community-driven development for computational biology at Sprints, Hackathons and Codefests
Background Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much convers...
Saved in:
| Published in: | BMC bioinformatics Vol. 15; no. Suppl 14; p. S7 |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
27.11.2014
Springer Nature B.V |
| Subjects: | |
| ISSN: | 1471-2105, 1471-2105 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Background
Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches.
Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large.
Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together.
Results
This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities.
Conclusions
Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects. |
|---|---|
| AbstractList | Background
Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches.
Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large.
Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together.
Results
This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities.
Conclusions
Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects. Background: Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches. Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large. Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together. Results: This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled “unconferences” (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities. Conclusions: Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects. Doc number: S7 Abstract Background: Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches. Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large. Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together. Results: This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities. Conclusions: Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects. Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches. Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large. Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together. This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities. Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects. Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches. Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large. Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together.BACKGROUNDComputational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches. Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large. Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together.This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities.RESULTSThis report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities.Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects.CONCLUSIONSHackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects. |
| ArticleNumber | S7 |
| Author | Chapman, Brad A Bonnal, Raoul JP Afgan, Enis Prins, Pjotr Kaján, László Quinn, Jacqueline Seemann, Torsten Möller, Steffen Chilton, John Tille, Andreas Steinbiss, Sascha Gumbel, Markus Banck, Michael Guimera, Roman Valls Travis, Anthony J Harris, Nomi Soiland-Reyes, Stian Kibukawa, Eri Cock, Peter JA Kalaš, Matúš Holland, Richard Spooner, William Strozzi, Francesco Booth, Timothy Sallou, Olivier Powel, David R Sloggett, Clare Katayama, Toshiaki |
| AuthorAffiliation | 8 The James Hutton Institute, UK 23 University of Aberdeen, Institute of Biological and Environmental Sciences, Aberdeen, Scotland, UK 17 Department of Medical Genetics, Institute for Molecular Medicine, University Medical Centre Utrecht, The Netherlands 13 University of Bergen, Computational Biology Unit and Department of Informatics, Norway 10 Lawrence Berkeley National Laboratory, Berkeley, CA, USA 5 Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi, Milano, Italy 1 University of Lübeck, Department of Dermatology, Germany 11 Eagle Genomics Ltd, Wakefield, MA, USA 15 Illumina Inc., Japan 22 University of Hamburg, Center for Bioinformatics, Germany 24 Stockholm University, Department of Biochemistry and Biophysics, Science for Life Laboratory, Sweden 2 Debian Project 7 University of Minnesota Supercomputing Institute, USA 16 Monash University, Victorian Bioinformatics Consortium, Australia 4 VLSCI Life Sciences Computation Centre, University of Melbourne, Australia 21 University of |
| AuthorAffiliation_xml | – name: 13 University of Bergen, Computational Biology Unit and Department of Informatics, Norway – name: 22 University of Hamburg, Center for Bioinformatics, Germany – name: 15 Illumina Inc., Japan – name: 16 Monash University, Victorian Bioinformatics Consortium, Australia – name: 24 Stockholm University, Department of Biochemistry and Biophysics, Science for Life Laboratory, Sweden – name: 25 Database Center for Life Science, Tokyo, Japan – name: 11 Eagle Genomics Ltd, Wakefield, MA, USA – name: 7 University of Minnesota Supercomputing Institute, USA – name: 10 Lawrence Berkeley National Laboratory, Berkeley, CA, USA – name: 14 TU Munich, Department of Bioinformatics and Computational Biology, Germany – name: 17 Department of Medical Genetics, Institute for Molecular Medicine, University Medical Centre Utrecht, The Netherlands – name: 19 University of Rennes, INRIA/Irisa, France – name: 4 VLSCI Life Sciences Computation Centre, University of Melbourne, Australia – name: 5 Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi, Milano, Italy – name: 2 Debian Project – name: 3 Center for Computing and Informatics, Ruđer Bošković Institute (RBI), Croatia – name: 26 Harvard Public School of Health, Boston MA, USA – name: 6 NERC Centre for Ecology and Hydrology, Wallingford, UK – name: 8 The James Hutton Institute, UK – name: 18 Autodesk, Inc., USA – name: 20 Parco Tecnologico Padano, Lodi, Italy – name: 21 University of Manchester, School of Computer Science, UK – name: 23 University of Aberdeen, Institute of Biological and Environmental Sciences, Aberdeen, Scotland, UK – name: 1 University of Lübeck, Department of Dermatology, Germany – name: 12 now at Pistoia Alliance, Wakefield, MA, USA – name: 9 Mannheim University of Applied Sciences, Germany |
| Author_xml | – sequence: 1 givenname: Steffen surname: Möller fullname: Möller, Steffen email: moeller@debian.org organization: University of Lübeck, Department of Dermatology, Debian Project – sequence: 2 givenname: Enis surname: Afgan fullname: Afgan, Enis organization: Center for Computing and Informatics, Ruđer Bošković Institute (RBI), VLSCI Life Sciences Computation Centre, University of Melbourne – sequence: 3 givenname: Michael surname: Banck fullname: Banck, Michael organization: Debian Project – sequence: 4 givenname: Raoul JP surname: Bonnal fullname: Bonnal, Raoul JP organization: Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi – sequence: 5 givenname: Timothy surname: Booth fullname: Booth, Timothy organization: NERC Centre for Ecology and Hydrology – sequence: 6 givenname: John surname: Chilton fullname: Chilton, John organization: University of Minnesota Supercomputing Institute – sequence: 7 givenname: Peter JA surname: Cock fullname: Cock, Peter JA organization: The James Hutton Institute – sequence: 8 givenname: Markus surname: Gumbel fullname: Gumbel, Markus organization: Mannheim University of Applied Sciences – sequence: 9 givenname: Nomi surname: Harris fullname: Harris, Nomi organization: Lawrence Berkeley National Laboratory – sequence: 10 givenname: Richard surname: Holland fullname: Holland, Richard organization: Eagle Genomics Ltd, now at Pistoia Alliance – sequence: 11 givenname: Matúš surname: Kalaš fullname: Kalaš, Matúš organization: Computational Biology Unit and Department of Informatics, University of Bergen – sequence: 12 givenname: László surname: Kaján fullname: Kaján, László organization: Debian Project, TU Munich, Department of Bioinformatics and Computational Biology – sequence: 13 givenname: Eri surname: Kibukawa fullname: Kibukawa, Eri organization: Illumina Inc – sequence: 14 givenname: David R surname: Powel fullname: Powel, David R organization: TU Munich, Department of Bioinformatics and Computational Biology, Monash University, Victorian Bioinformatics Consortium – sequence: 15 givenname: Pjotr surname: Prins fullname: Prins, Pjotr organization: Department of Medical Genetics, Institute for Molecular Medicine, University Medical Centre Utrecht – sequence: 16 givenname: Jacqueline surname: Quinn fullname: Quinn, Jacqueline organization: Autodesk, Inc – sequence: 17 givenname: Olivier surname: Sallou fullname: Sallou, Olivier organization: Debian Project, University of Rennes – sequence: 18 givenname: Francesco surname: Strozzi fullname: Strozzi, Francesco organization: Parco Tecnologico Padano – sequence: 19 givenname: Torsten surname: Seemann fullname: Seemann, Torsten organization: VLSCI Life Sciences Computation Centre, University of Melbourne, Monash University, Victorian Bioinformatics Consortium – sequence: 20 givenname: Clare surname: Sloggett fullname: Sloggett, Clare organization: VLSCI Life Sciences Computation Centre, University of Melbourne – sequence: 21 givenname: Stian surname: Soiland-Reyes fullname: Soiland-Reyes, Stian organization: University of Manchester, School of Computer Science – sequence: 22 givenname: William surname: Spooner fullname: Spooner, William organization: Eagle Genomics Ltd – sequence: 23 givenname: Sascha surname: Steinbiss fullname: Steinbiss, Sascha organization: University of Hamburg, Center for Bioinformatics – sequence: 24 givenname: Andreas surname: Tille fullname: Tille, Andreas organization: Debian Project – sequence: 25 givenname: Anthony J surname: Travis fullname: Travis, Anthony J organization: University of Aberdeen, Institute of Biological and Environmental Sciences – sequence: 26 givenname: Roman Valls surname: Guimera fullname: Guimera, Roman Valls organization: Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University – sequence: 27 givenname: Toshiaki surname: Katayama fullname: Katayama, Toshiaki organization: Database Center for Life Science – sequence: 28 givenname: Brad A surname: Chapman fullname: Chapman, Brad A organization: Harvard Public School of Health |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25472764$$D View this record in MEDLINE/PubMed https://www.osti.gov/servlets/purl/1626300$$D View this record in Osti.gov https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-113132$$DView record from Swedish Publication Index (Stockholms universitet) |
| BookMark | eNqNkk1v0zAYxy00xLbCJ0BCEVw4LODX2LkgTeVlSJM4FLhwsBzHaT0Su7Odon57HFqqbgfYyZb9e97-z_8cnDjvDADPEXyDkKjeIspRiRFkJWLlAtFywR-Bs8PrydH9FJzHeAMh4gKyJ-AUM8oxr-gZ-DH3wzA6m7ZlG-zGuKI1G9P79WBcKjofCu2H9ZhUst6pvmis7_1yW6hULNbBuhQviiulf6q08i4WyrXF3LemMzHFp-Bxp_ponu3PGfj28cPX-VV5_eXT5_nldakrKFIp2ka1QmgiFFUGt7XWVBDcMa5xLbiitTGQIgIVbpRueFcrzUndNYQYWLOKzMDFLm_8ZdZjI3Nfgwpb6ZWV7-33S-nDUsZRIkQQwRl_t8MzO5hW50GD6u9E3f1xdiWXfiMpZozn1mbg5S6Bj8nKqG0yeqW9c0YniSpcEQgz9HpfJfjbMcshBxu16XvljB-jRLwmOI_JHoBWhEEsGGcPQSnmsOI8o6_uoTd-DHmHEzVly-aYtHtxLMZBhb8OyQDZATr4GIPpDgiCcvKhnFwmJ5dJxGT2oVxMxet7UVmlPx7Kitr-P7F0v87JYEsTjhr_R9hvAivyuw |
| CitedBy_id | crossref_primary_10_1038_nbt_3240 crossref_primary_10_1108_HESWBL_03_2021_0064 crossref_primary_10_1371_journal_pcbi_1007808 crossref_primary_10_1371_journal_pbio_1002303 crossref_primary_10_1109_ACCESS_2023_3288431 crossref_primary_10_1016_j_ijhcs_2024_103223 crossref_primary_10_1007_s41019_017_0050_4 crossref_primary_10_1097_PAP_0000000000000088 crossref_primary_10_3389_feduc_2022_954044 crossref_primary_10_1108_ITP_10_2015_0243 crossref_primary_10_1007_s10664_022_10201_x crossref_primary_10_1080_07370024_2020_1760869 crossref_primary_10_12688_f1000research_11429_1 crossref_primary_10_1371_journal_pcbi_1004691 crossref_primary_10_1109_MS_2018_290110547 crossref_primary_10_1186_1471_2105_15_S14_S1 crossref_primary_10_1038_nrg_2016_69 crossref_primary_10_1093_nar_gkv1116 |
| Cites_doi | 10.5334/jors.bc 10.1093/bioinformatics/bts494 10.1186/2041-1480-2-4 10.1038/nbt0706-801 10.1093/bioinformatics/btp163 10.1186/1471-2105-11-S12-S5 10.1093/bioinformatics/btp493 10.1093/nar/gks1297 10.1101/gr.361602 10.1038/nbt.2891 10.1093/bioinformatics/btq475 10.1093/bioinformatics/bts080 10.1109/TCBB.2013.68 10.1371/journal.pcbi.1002554 10.1186/1471-2105-13-42 10.1101/gr.126599.111 10.1093/bioinformatics/btu153 10.1109/GRID.2004.14 10.1186/1759-8753-3-18 10.1093/bioinformatics/btt113 10.1186/2041-1480-4-6 10.1186/1471-2105-13-187 10.1371/journal.pcbi.1003355 10.1186/2041-1480-1-8 |
| ContentType | Journal Article |
| Copyright | Möller et al.; licensee BioMed Central. 2014 2014 Möller et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Copyright © 2014 Möller et al.; licensee BioMed Central. 2014 Möller et al.; licensee BioMed Central. |
| Copyright_xml | – notice: Möller et al.; licensee BioMed Central. 2014 – notice: 2014 Möller et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. – notice: Copyright © 2014 Möller et al.; licensee BioMed Central. 2014 Möller et al.; licensee BioMed Central. |
| CorporateAuthor | Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) |
| CorporateAuthor_xml | – name: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7QO 7SC 7X7 7XB 88E 8AL 8AO 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA ARAPS AZQEC BBNVY BENPR BGLVJ BHPHI CCPQU DWQXO FR3 FYUFA GHDGH GNUQQ HCIFZ JQ2 K7- K9. L7M LK8 L~C L~D M0N M0S M1P M7P P5Z P62 P64 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 OIOZB OTOTI 5PM ABAVF ADTPV AOWAS D8T DG7 ZZAVC |
| DOI | 10.1186/1471-2105-15-S14-S7 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Biotechnology Research Abstracts Computer and Information Systems Abstracts ProQuest Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Computing Database (Alumni Edition) ProQuest Pharma Collection Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials Biological Science Collection AUTh Library subscriptions: ProQuest Central Technology collection Natural Science Collection ProQuest One Community College ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database ProQuest Health & Medical Complete (Alumni) Advanced Technologies Database with Aerospace ProQuest Biological Science Collection Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Computing Database Health & Medical Collection (Alumni Edition) Medical Database Biological Science Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic OSTI.GOV - Hybrid OSTI.GOV PubMed Central (Full Participant titles) SWEPUB Stockholms universitet full text SwePub SwePub Articles SWEPUB Freely available online SWEPUB Stockholms universitet SwePub Articles full text |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database Computer Science Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest Central China ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Advanced Technologies & Aerospace Collection ProQuest Biological Science Collection ProQuest One Academic Eastern Edition ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Advanced Technologies Database with Aerospace ProQuest Computing ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest SciTech Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest Medical Library ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Engineering Research Database Computer and Information Systems Abstracts Publicly Available Content Database MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1471-2105 |
| EndPage | S7 |
| ExternalDocumentID | oai_DiVA_org_su_113132 PMC4255748 1626300 3510212981 25472764 10_1186_1471_2105_15_S14_S7 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GroupedDBID | --- 0R~ 23N 2WC 4.4 53G 5VS 6J9 7X7 88E 8AO 8FE 8FG 8FH 8FI 8FJ AAFWJ AAJSJ AAKPC AASML ABDBF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACUHS ADBBV ADMLS ADRAZ ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHMBA AHSBF AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS ARAPS AZQEC BAPOH BAWUL BBNVY BCNDV BENPR BFQNJ BGLVJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CS3 DIK DU5 DWQXO E3Z EAD EAP EAS EBD EBLON EBS EJD EMB EMK EMOBN ESX F5P FYUFA GNUQQ GROUPED_DOAJ GX1 H13 HCIFZ HMCUK HYE IAO ICD IHR INH INR ISR ITC K6V K7- KQ8 LK8 M1P M48 M7P MK~ ML0 M~E O5R O5S OK1 OVT P2P P62 PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PUEGO RBZ RNS ROL RPM RSV SBL SOJ SV3 TR2 TUS UKHRP W2D WOQ WOW XH6 XSB AAYXX AFFHD CITATION 123 2VQ ALIPV C1A CGR CUY CVF ECM EIF IPNFZ NPM RIG 3V. 7QO 7SC 7XB 8AL 8FD 8FK FR3 JQ2 K9. L7M L~C L~D M0N P64 PKEHL PQEST PQUKI PRINS Q9U 7X8 -A0 AAPBV ABPTK ACRMQ ADINQ AFGXO C24 N95 OIOZB OTOTI 5PM ABAVF ADTPV AOWAS D8T DG7 ZZAVC |
| ID | FETCH-LOGICAL-c608t-8dbad88c38a4ae2d9cc4832f57c2987a49ee04130a2bacb7f9ac739fb33e09563 |
| IEDL.DBID | RSV |
| ISICitedReferencesCount | 27 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000346167500007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1471-2105 |
| IngestDate | Tue Nov 04 15:43:03 EST 2025 Tue Nov 04 01:56:50 EST 2025 Mon Jul 10 02:31:04 EDT 2023 Fri Sep 05 11:07:12 EDT 2025 Tue Oct 07 09:25:51 EDT 2025 Sun Nov 09 11:39:54 EST 2025 Tue Oct 07 05:12:18 EDT 2025 Mon Jul 21 05:55:52 EDT 2025 Tue Nov 18 22:33:36 EST 2025 Sat Nov 29 05:39:57 EST 2025 Sat Sep 06 07:27:14 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | Suppl 14 |
| Keywords | Commercial Service Provider Synthetic Biology Open Source Software Developer Open Source Open Source Tool |
| Language | English |
| License | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c608t-8dbad88c38a4ae2d9cc4832f57c2987a49ee04130a2bacb7f9ac739fb33e09563 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Conference-1 ObjectType-Feature-3 SourceType-Conference Papers & Proceedings-2 AC02-05CH11231 USDOE Office of Science (SC) |
| OpenAccessLink | https://link.springer.com/10.1186/1471-2105-15-S14-S7 |
| PMID | 25472764 |
| PQID | 1628574716 |
| PQPubID | 44065 |
| ParticipantIDs | swepub_primary_oai_DiVA_org_su_113132 pubmedcentral_primary_oai_pubmedcentral_nih_gov_4255748 osti_scitechconnect_1626300 proquest_miscellaneous_1793283250 proquest_miscellaneous_1635028575 proquest_miscellaneous_1634270677 proquest_journals_1628574716 pubmed_primary_25472764 crossref_primary_10_1186_1471_2105_15_S14_S7 crossref_citationtrail_10_1186_1471_2105_15_S14_S7 springer_journals_10_1186_1471_2105_15_S14_S7 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-11-27 |
| PublicationDateYYYYMMDD | 2014-11-27 |
| PublicationDate_xml | – month: 11 year: 2014 text: 2014-11-27 day: 27 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England – name: United States |
| PublicationTitle | BMC bioinformatics |
| PublicationTitleAbbrev | BMC Bioinformatics |
| PublicationTitleAlternate | BMC Bioinformatics |
| PublicationYear | 2014 |
| Publisher | BioMed Central Springer Nature B.V |
| Publisher_xml | – name: BioMed Central – name: Springer Nature B.V |
| References | K Krampis (6718_CR18) 2012; 13 M Galdzicki (6718_CR8) 2014; 32 T Katayama (6718_CR2) 2011; 2 6718_CR6 T Katayama (6718_CR1) 2010; 1 B Néron (6718_CR5) 2009; 25 A Tille (6718_CR15) 2001 Pavelin Katrina (6718_CR29) 2012; 8 DP Anderson (6718_CR19) 2004 EH Trainer (6718_CR26) 2014; 2 G Gremme (6718_CR21) 2013; 10 DS Standage (6718_CR22) 2012; 13 L Kaján (6718_CR24) 2013 N Goto (6718_CR13) 2010; 26 T Katayama (6718_CR3) 2013; 4 S Möller (6718_CR16) 2010; 11 JE Stajich (6718_CR4) 2002; 12 T Seemann (6718_CR9) 2014; 30 D Field (6718_CR17) 2006; 24 PJ Cock (6718_CR12) 2009; 25 J Ison (6718_CR7) 2013; 29 A Prlić (6718_CR11) 2012; 28 NL Harris (6718_CR27) 2014 M Stobbe (6718_CR25) 2013; 9 D Earl (6718_CR28) 2011; 21 XM Fernández-Suárez (6718_CR10) 2013; 41 DM Balan (6718_CR20) 2012 S Steinbiss (6718_CR23) 2012; 3 RJ Bonnal (6718_CR14) 2012; 28 23479348 - Bioinformatics. 2013 May 15;29(10):1325-32 24282392 - PLoS Comput Biol. 2013;9(11):e1003355 22852583 - BMC Bioinformatics. 2012;13:187 22429538 - BMC Bioinformatics. 2012;13:42 16841067 - Nat Biotechnol. 2006 Jul;24(7):801-3 19304878 - Bioinformatics. 2009 Jun 1;25(11):1422-3 21926179 - Genome Res. 2011 Dec;21(12):2224-41 25024288 - Bioinformatics. 2015 Jan 15;31(2):299-300 21806842 - J Biomed Semantics. 2011 Aug 02;2:4 24091398 - IEEE/ACM Trans Comput Biol Bioinform. 2013 May-Jun;10(3):645-56 20727200 - J Biomed Semantics. 2010 Aug 21;1(1):8 23131050 - Mob DNA. 2012 Nov 07;3(1):18 23203983 - Nucleic Acids Res. 2013 Jan;41(Database issue):D1-7 22332238 - Bioinformatics. 2012 Apr 1;28(7):1035-7 12368254 - Genome Res. 2002 Oct;12(10):1611-8 23398680 - J Biomed Semantics. 2013 Feb 11;4(1):6 22877863 - Bioinformatics. 2012 Oct 15;28(20):2693-5 23971032 - Biomed Res Int. 2013;2013:398968 20739307 - Bioinformatics. 2010 Oct 15;26(20):2617-9 19689959 - Bioinformatics. 2009 Nov 15;25(22):3005-11 24642063 - Bioinformatics. 2014 Jul 15;30(14):2068-9 21210984 - BMC Bioinformatics. 2010;11 Suppl 12:S5 24911500 - Nat Biotechnol. 2014 Jun;32(6):545-50 22807660 - PLoS Comput Biol. 2012;8(7):e1002554 |
| References_xml | – volume: 2 start-page: e18 issue: 1 year: 2014 ident: 6718_CR26 publication-title: Journal of Open Research Software doi: 10.5334/jors.bc – volume-title: Packaging Software for Use in Medicine year: 2001 ident: 6718_CR15 – volume: 28 start-page: 2693 issue: 20 year: 2012 ident: 6718_CR11 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts494 – volume: 2 start-page: 4 issue: 2 year: 2011 ident: 6718_CR2 publication-title: J Biomed Semantics doi: 10.1186/2041-1480-2-4 – volume: 24 start-page: 801 year: 2006 ident: 6718_CR17 publication-title: Nat Biotechnol doi: 10.1038/nbt0706-801 – volume: 25 start-page: 1422 issue: 11 year: 2009 ident: 6718_CR12 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp163 – volume: 11 start-page: S5 issue: S-12 year: 2010 ident: 6718_CR16 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-11-S12-S5 – volume: 25 start-page: 3005 issue: 22 year: 2009 ident: 6718_CR5 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp493 – volume: 41 start-page: D1 issue: Database year: 2013 ident: 6718_CR10 publication-title: Nucleic Acids Res doi: 10.1093/nar/gks1297 – volume: 12 start-page: 1611 issue: 10 year: 2002 ident: 6718_CR4 publication-title: Genome Res doi: 10.1101/gr.361602 – ident: 6718_CR6 – volume: 32 start-page: 545 issue: 6 year: 2014 ident: 6718_CR8 publication-title: Nat Biotechnol doi: 10.1038/nbt.2891 – volume: 26 start-page: 2617 issue: 20 year: 2010 ident: 6718_CR13 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq475 – start-page: 398968 volume-title: BioMed Research International year: 2013 ident: 6718_CR24 – start-page: 617 volume-title: PDP year: 2012 ident: 6718_CR20 – volume: 28 start-page: 1035 issue: 7 year: 2012 ident: 6718_CR14 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts080 – volume: 10 start-page: 645 issue: 3 year: 2013 ident: 6718_CR21 publication-title: IEEE/ACM Trans Comp Biol Bioinf doi: 10.1109/TCBB.2013.68 – volume: 8 start-page: e1002554 issue: 7 year: 2012 ident: 6718_CR29 publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1002554 – volume: 13 start-page: 42 year: 2012 ident: 6718_CR18 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-13-42 – start-page: btu413 volume-title: Bioinformatics year: 2014 ident: 6718_CR27 – volume: 21 start-page: 2224 issue: 12 year: 2011 ident: 6718_CR28 publication-title: Genome Res doi: 10.1101/gr.126599.111 – volume: 30 start-page: 2068 issue: 14 year: 2014 ident: 6718_CR9 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu153 – start-page: 4 volume-title: Proceedings of the 5th IEEE/ACM Workshop on Grid Computing year: 2004 ident: 6718_CR19 doi: 10.1109/GRID.2004.14 – volume: 3 start-page: 18 year: 2012 ident: 6718_CR23 publication-title: Mobile DNA doi: 10.1186/1759-8753-3-18 – volume: 29 start-page: 1325 issue: 10 year: 2013 ident: 6718_CR7 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt113 – volume: 4 start-page: 6 issue: 1 year: 2013 ident: 6718_CR3 publication-title: J Biomed Semantics doi: 10.1186/2041-1480-4-6 – volume: 13 start-page: 187 year: 2012 ident: 6718_CR22 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-13-187 – volume: 9 start-page: e1003355 issue: 11 year: 2013 ident: 6718_CR25 publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1003355 – volume: 1 start-page: 8 issue: 1 year: 2010 ident: 6718_CR1 publication-title: J Biomed Semantics doi: 10.1186/2041-1480-1-8 – reference: 21210984 - BMC Bioinformatics. 2010;11 Suppl 12:S5 – reference: 24911500 - Nat Biotechnol. 2014 Jun;32(6):545-50 – reference: 25024288 - Bioinformatics. 2015 Jan 15;31(2):299-300 – reference: 19304878 - Bioinformatics. 2009 Jun 1;25(11):1422-3 – reference: 20739307 - Bioinformatics. 2010 Oct 15;26(20):2617-9 – reference: 24091398 - IEEE/ACM Trans Comput Biol Bioinform. 2013 May-Jun;10(3):645-56 – reference: 23203983 - Nucleic Acids Res. 2013 Jan;41(Database issue):D1-7 – reference: 21926179 - Genome Res. 2011 Dec;21(12):2224-41 – reference: 22807660 - PLoS Comput Biol. 2012;8(7):e1002554 – reference: 16841067 - Nat Biotechnol. 2006 Jul;24(7):801-3 – reference: 21806842 - J Biomed Semantics. 2011 Aug 02;2:4 – reference: 20727200 - J Biomed Semantics. 2010 Aug 21;1(1):8 – reference: 12368254 - Genome Res. 2002 Oct;12(10):1611-8 – reference: 24642063 - Bioinformatics. 2014 Jul 15;30(14):2068-9 – reference: 22877863 - Bioinformatics. 2012 Oct 15;28(20):2693-5 – reference: 22852583 - BMC Bioinformatics. 2012;13:187 – reference: 24282392 - PLoS Comput Biol. 2013;9(11):e1003355 – reference: 23479348 - Bioinformatics. 2013 May 15;29(10):1325-32 – reference: 23971032 - Biomed Res Int. 2013;2013:398968 – reference: 23131050 - Mob DNA. 2012 Nov 07;3(1):18 – reference: 19689959 - Bioinformatics. 2009 Nov 15;25(22):3005-11 – reference: 22429538 - BMC Bioinformatics. 2012;13:42 – reference: 22332238 - Bioinformatics. 2012 Apr 1;28(7):1035-7 – reference: 23398680 - J Biomed Semantics. 2013 Feb 11;4(1):6 |
| SSID | ssj0017805 |
| Score | 2.310387 |
| Snippet | Background
Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows... Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the... Doc number: S7 Abstract Background: Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to... Background: Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful... |
| SourceID | swepub pubmedcentral osti proquest pubmed crossref springer |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | S7 |
| SubjectTerms | Algorithms BASIC BIOLOGICAL SCIENCES Biochemistry & Molecular Biology Bioinformatics Biology Biomedical and Life Sciences Biotechnology & Applied Microbiology Communication Computation Computational Biology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Conferences Cooperative Behavior Internet KNOWLEDGE MANAGEMENT AND PRESERVATION Life Sciences Mathematical & Computational Biology MATHEMATICS AND COMPUTING Meetings Microarrays Mobile communication systems Networks Semantics Software |
| SummonAdditionalLinks | – databaseName: Computer Science Database dbid: K7- link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpZ1Lb9QwEIAtWEDiwvsRWpCR4FarsWPHzglVhaoSqEJaqCpxsBw_ygqUlE0Wqf8eT-JNWUB74ZxxEnvG4_HrG4ReMVFUJoRAqIcUZjEmIdHnKQJwKSNzZ_nAKTj9IE9O1NlZ9TEtuHXpWOXaJw6O2rUW1sj3Kdz1gxlU-ebiB4GsUbC7mlJoXEc3KGMU7Py9JNMuAvD6E2mIqnKfxtIkTnEEoYLMKSdzuTEazdrYq_4Vaf59YHLaNf2DMDqMSkd3_7c-99CdFI_ig9GA7qNrvnmAbo0ZKi8foi_pAkl_SdwSHCN2V6eMcAx4sR3SQqQlRZyYTtj0eFgy7Ls9fGzsNwOIgg6bxuHD1vkQ_7N7hD4fvft0eExSPgZiy1z1RLnaOKVsoQw3nrnKWh4dQhDSskpJwyvvcxgUDauNrWWojJVFFeqi8MA7LB6jWdM2_inCIjgaQw9ugip54NIA576mdc18VZtCZIit9aJtgpVDzozvepi0qFKDMjUoU1OhozL1XGZobyp0MbI6tovvgMJ1DDWAl2vhYJHtNQU-T55naHetN526daevlJahl9Pj2CFhl8U0vl2BTMGZBDDfVhmRw6vEFpnoOSGPlIi_8mQ0v6lWcVYf486SZ0huGOYkANDwzSfN4usAD48-OtZAZYisTfi36m1rrNejnW984u3i9EC3y3PdrWJJoIA-295sO-g2qB0uczK5i2b9cuWfo5v2Z7_oli-G3vsLl9hMlA priority: 102 providerName: ProQuest |
| Title | Community-driven development for computational biology at Sprints, Hackathons and Codefests |
| URI | https://link.springer.com/article/10.1186/1471-2105-15-S14-S7 https://www.ncbi.nlm.nih.gov/pubmed/25472764 https://www.proquest.com/docview/1628574716 https://www.proquest.com/docview/1634270677 https://www.proquest.com/docview/1635028575 https://www.proquest.com/docview/1793283250 https://www.osti.gov/servlets/purl/1626300 https://pubmed.ncbi.nlm.nih.gov/PMC4255748 https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-113132 |
| Volume | 15 |
| WOSCitedRecordID | wos000346167500007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVADU databaseName: Open Access: BioMedCentral Open Access Titles customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: RBZ dateStart: 20000101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: DOA dateStart: 20000101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: M~E dateStart: 20000101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: P5Z dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: M7P dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: K7- dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: 7X7 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: Springer Nature - Connect here FIRST to enable access customDbUrl: eissn: 1471-2105 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017805 issn: 1471-2105 databaseCode: RSV dateStart: 20001201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED9tHUi88D0IG1WQ4G0W-XLsPI6xaQioohWqAg-W4zhQgVLUpEj777lz00D5qAQvfvHZydl357N9_h3A44jHma6qioWWUpihT8LQ5klG4FJaBKVJHE7B5JUYjeR0muU7wNdvYVy0-_pK0llqp9YyfRqiGWW4QeEs5GwcJmwsdmEP1ztJ-ngxnvSXBwTT3wEM_aXhxiI0mKMy_cnB_D1Osr8s_QVY1C1GZzf-k42bcL3zPv3jlbjcgh1b34arq3yUl3fgQ_dcpL1k5YLMoF_-iCny0b31jUsC0R0g-h2Ck69b3x0Qts2Rf67NZ02ABI2v69I_mZe2Qnabu_D27PTNyTnrsi8wkwayZbIsdCmliaVOtI3KzJgE1b_iwkSZFDrJrA1oCdRRoU0hqkwbEWdVEceW0A3jfRjU89reB59XZYiORqIrmSZVIjSh2hdhUUQ2K3TMPYjW06FMB01OGTK-KLdFkamiUVM0airkCkdNjYUHR32jrytkju3kBzTPCh0LQsc1FEZkWhUSGk8QeHC4nn7VKXFDdZLTpj314FFfjepHdyq6tvMl0cRJJAiGbysND6grvoUG7SRljeL4K_dWUtdzhXt49DLTxAOxIY89AUGEb9bUs08OKhwtMnIgPWBrYfyJvW2D9WQl3hufeD6bHKv54qNqltiSMD8f_GO_B3CN5IDeckbiEAbtYmkfwhXzrZ01iyHsiqlwpRzC3rPTUX4xdGckWL4UbEhxuTmWOX-P9fmL1_m7odP871uKTHA |
| linkProvider | Springer Nature |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELbKAoIL70doASPRW60mjh07B4SqlmqrXVZIW6pKHIzjOO0KlJRNFrR_it-IJ6-ygPbWA-dMHna-Gc_48X0IvaY8jHWWZSSwIGHmchLiYp4kQC6lhZ8aVvMUnIzFZCJPT-MPG-hndxYGtlV2MbEO1GlhYI58N4CzflBBRW8vvhFQjYLV1U5Co4HFyC5_uJKtfHN04P7vNqWH7473h6RVFSAm8mVFZJroVEoTSs20pWlsDHOwzrgw1BXgmsXW-hDaNU20SUQWayPCOEvC0AJrX-ieew1dZ6EUwNU_EqRftQB9gJbZKJDRbuC-lriSipOAk2nAyFSsjH6DwnnxvzLbvzdo9qu0fzCa1qPg4d3_rf_uoTttvo33Gge5jzZs_gDdbBQ4lw_Rp_aATLUk6RwCP04vd1Fhl9BjU8tetFOmuOWswrrC9ZRoVe7goTZfNFAwlFjnKd4vUpu5fikfoY9X0rLHaJAXuX2KMM_SwKVWTGcyYhkTGnj8kyBJqI0THXIP0Q4HyrRk7KAJ8lXVRZmMFIBHAXhUwJUDj5oKD-30N100XCTrzTcBYMqlUsAHbGDjlKlUAPxDvu-hrQ4nqg1bpboEiYde9ZddwIFVJJ3bYgE2IaMCiAfX2nAfHsXX2LiRAXSyuPuUJw3c-1ZRzlxeHTEPiRVH6A2AFH31Sj47r8nR3RjkWiA9RDqX-a156zpru_GrlVcczE72VDE_U-XC3Qksp8_Wd9tLdGt4_H6sxkeT0Sa6DRCAg6tUbKFBNV_Y5-iG-V7NyvmLOnJg9PmqXe0X6o6rFQ |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3daxQxEB_01OKL39W1VSPoW0P3I9lkH0vrUbEchdOj4EPIZhM9lN1yuyf0vzezX3p-HAg-Z5LdSWYmM8nkNwCvYp5k2jlHI4slzLxPQr3NkxTBpbQIC8NanILFmZjN5MVFdt5nE9ZDtvtwJdm9aUCUprI5vCxcp-IyPYy8SaU-WOE04nQeMToX1-EGw6pBGLDPF-NFAkL292BDf-m4sSFNKq9Yf3I2f8-ZHC9OfwEZbTem6d3_wNI9uNN7peSoE6P7cM2WD-BWV6fy6iF87J-RNFe0WKF5JMWPXCPi3V5i2uIQ_cEi6ZGdiG5Ie3DY1AfkVJsvGoEKaqLLghxXhXWe9foRfJi-eX98SvuqDNSkoWyoLHJdSGkSqZm2cZEZw7xZcFyYOJNCs8zaELdGHefa5MJl2ogkc3mSWEQ9THZhUlalfQKEuyLyDgjTTqbMMaER7T6P8jy2Wa4THkA8LI0yPWQ5Vs74qtrQRaYKZ03hrKmIKz9rai4COBg7XXaIHdvJ93DNlXc4EDXXYHqRaVSEKD1hGMD-IAqqV-4a2yTHYD4N4OXY7NUS71p0aas10iQsFgjPt5WGhzgU30Lj7SdWk-L-Vx53Ejhy5WN7732mLACxIZsjAUKHb7aUy88thLi31J4DGQAdBPMn9rZN1utO1Dc-cbJcHKlq9UnVa98TsUCf_uO4L2Dn_GSqzt7O3u3BbRQJfO4Zi32YNKu1fQY3zbdmWa-et8r9HbenT2M |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Community-driven+development+for+computational+biology+at+Sprints%2C+Hackathons+and+Codefests&rft.jtitle=BMC+bioinformatics&rft.au=M%C3%B6ller%2C+Steffen&rft.au=Afgan%2C+Enis&rft.au=Banck%2C+Michael&rft.au=Bonnal%2C+Raoul+JP&rft.date=2014-11-27&rft.pub=BioMed+Central&rft.eissn=1471-2105&rft.volume=15&rft.issue=Suppl+14&rft_id=info:doi/10.1186%2F1471-2105-15-S14-S7&rft.externalDocID=10_1186_1471_2105_15_S14_S7 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2105&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2105&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2105&client=summon |