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...
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| Published in: | BMC bioinformatics Vol. 15; no. Suppl 14; p. S7 |
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| 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 |
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| 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. |
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| 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) |
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| 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) |
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| DOI | 10.1186/1471-2105-15-S14-S7 |
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| Discipline | Biology |
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| 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 |
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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 |
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