Search Results - "Molecular Sequence Annotation methods"
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1
Authors: et al.
Source: Bioinformatics
Bioinformatics, vol. 41, no. 7
Bioinformatics, 41 (7)Subject Terms: Original Paper, Molecular Sequence Annotation/methods, Genomics/methods, Databases, Genetic, Genome, Computational Biology/methods
File Description: application/pdf; application/application/pdf
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2
Authors: et al.
Source: Genet Sel Evol
Genetics Selection Evolution, Vol 57, Iss 1, Pp 1-17 (2025)Subject Terms: Quantitative Trait Loci, Molecular Sequence Annotation/methods, Genetics & genetic processes, QH426-470, Breeding, SF1-1100, Polymorphism, Single Nucleotide, Génétique & processus génétiques, Whole Genome Sequencing/methods, Genetics, Animals, Animal production & animal husbandry, Cattle/genetics, Selection, Genetic, Genome, Models, Genetic, Whole Genome Sequencing, Bayes Theorem, Molecular Sequence Annotation, Genomics, Life sciences, Productions animales & zootechnie, Genomics/methods, Animal culture, Phenotype, Sciences du vivant, Cattle, Research Article
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3
Authors: et al.
Source: Bioinformatics
Bioinformatics, vol. 41, no. 2Subject Terms: Applications Note, Single-Cell Analysis/methods, Software, Cluster Analysis, Computational Biology/methods, Molecular Sequence Annotation/methods, Humans, Computational Biology, Molecular Sequence Annotation, Single-Cell Analysis
File Description: application/pdf
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4
Authors: et al.
Source: BMC Res Notes
BMC Research Notes, Vol 17, Iss 1, Pp 1-4 (2024)
BMC Research Notes 17, 351 (2024). doi:10.1186/s13104-024-06993-4Subject Terms: 0301 basic medicine, Science (General), DNA, Plant, QH301-705.5, Repetitive DNA, Data Note, Q1-390, 03 medical and health sciences, DNA Transposable Elements/genetics [MeSH], Data Notes, Satellite DNAs, Transposable elements, Genome annotation, Polymorphism, Genetic [MeSH], Sugar beet, Molecular Sequence Annotation/methods [MeSH], Repetitive Sequences, Nucleic Acid/genetics [MeSH], Chenopodium quinoa/genetics [MeSH], DNA, Plant/genetics [MeSH], Genome, Plant/genetics [MeSH], Beta vulgaris/genetics [MeSH], Biology (General), Chenopodium quinoa, Repetitive Sequences, Nucleic Acid, 0303 health sciences, Polymorphism, Genetic, Molecular Sequence Annotation, DNA Transposable Elements, Medicine, Beta vulgaris, Patellifolia, Genome, Plant
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5
Authors: et al.
Source: mSystems, vol. 9, no. 7, pp. e0047324
Subject Terms: Genomics/methods, Phylogeny, Software, Genome, Bacterial/genetics, Bacteria/genetics, Bacteria/classification, Molecular Sequence Annotation/methods, Computational Biology/methods, Databases, Genetic, comparative genomics, genome visualization, microbial genomics
File Description: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/pmid/38940522; info:eu-repo/semantics/altIdentifier/eissn/2379-5077; info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_98D21FF7E6AB7; https://serval.unil.ch/notice/serval:BIB_98D21FF7E6AB; https://serval.unil.ch/resource/serval:BIB_98D21FF7E6AB.P001/REF.pdf
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6
Authors: et al.
Source: Computer Science Faculty Publications
Subject Terms: Algorithms, Animals, Classification, Computational biology/mehods, Databases, genetic, De-novo identification, DNA transposable elements/genetics, Efficient tool, Families, Finder, Genome/genetics, Genome informatics, Humans, Molecular sequence annotation/methods, Program evaluation, Reproducibility of results, Sequence annotation, Software, Biodiversity, Computer Sciences, Genetics and Genomics
File Description: application/pdf
Relation: https://digitalcommons.odu.edu/computerscience_fac_pubs/333; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/viewcontent/Li_2024_HiTEAFastandAccurateDynamicBoundaryAdjustmentApproachforFullLengthOCR.pdf; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/0/type/additional/viewcontent/HiTESupplInfo.pdf; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/1/type/additional/viewcontent/HiTEPeerReview.pdf; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/2/type/additional/viewcontent/HiTESupplementaryFileDesc.pdf; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/3/type/additional/viewcontent/41467_2024_49912_MOESM4_ESM__1_.xlsx; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/4/type/additional/viewcontent/41467_2024_49912_MOESM5_ESM.xlsx; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/5/type/additional/viewcontent/HiTEReportingData.pdf
Availability: https://digitalcommons.odu.edu/computerscience_fac_pubs/333
https://doi.org/10.1038/s41467-024-49912-8
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/viewcontent/Li_2024_HiTEAFastandAccurateDynamicBoundaryAdjustmentApproachforFullLengthOCR.pdf
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/0/type/additional/viewcontent/HiTESupplInfo.pdf
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/1/type/additional/viewcontent/HiTEPeerReview.pdf
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/2/type/additional/viewcontent/HiTESupplementaryFileDesc.pdf
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/3/type/additional/viewcontent/41467_2024_49912_MOESM4_ESM__1_.xlsx
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/4/type/additional/viewcontent/41467_2024_49912_MOESM5_ESM.xlsx
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1338/filename/5/type/additional/viewcontent/HiTEReportingData.pdf -
7
Authors:
Subject Terms: Animals, Data Mining/methods, Databases, Genetic, Gene Ontology, Humans, Molecular Sequence Annotation/methods, Proteins/genetics, Species Specificity, Bias, Confounding, Data mining, Gene/protein annotation, Simpson’s paradox
File Description: application/pdf
Relation: Methods in molecular biology; https://iris.unil.ch/handle/iris/197768; serval:BIB_CBFCF5FD756A
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8
Authors:
Subject Terms: Animals, Gene Ontology, Humans, Internet, Molecular Sequence Annotation/methods, Semantics, Software, Python, Tutorial
File Description: application/pdf
Relation: Methods in molecular biology; https://iris.unil.ch/handle/iris/187710; serval:BIB_6D82D9E2A2D4
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9
Authors: et al.
Source: mSystems
mSystems, Vol 9, Iss 7 (2024)
mSystems, vol. 9, no. 7, pp. e0047324Subject Terms: Genomics/methods, Phylogeny, Software, Genome, Bacterial/genetics, Bacteria/genetics, Bacteria/classification, Molecular Sequence Annotation/methods, Computational Biology/methods, Databases, Genetic, comparative genomics, genome visualization, microbial genomics, 0301 basic medicine, 0303 health sciences, Bacteria, Methods and Protocols, Computational Biology, Molecular Sequence Annotation, Genomics, Microbiology, QR1-502, 03 medical and health sciences, Genome, Bacterial
File Description: application/pdf
Access URL: https://pubmed.ncbi.nlm.nih.gov/38940522
https://doaj.org/article/e35d3637ee894817a8f7b68a7ed882cd
https://serval.unil.ch/notice/serval:BIB_98D21FF7E6AB
https://serval.unil.ch/resource/serval:BIB_98D21FF7E6AB.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_98D21FF7E6AB7 -
10
Authors: et al.
Contributors: et al.
Source: Nucleic Acids Res
Nucleic acids research, Vol. 49, No D1 (2021) pp. D480-D489
Nucleic acids symposium series, 49(D1):D480-D489
Nucleic Acids ResearchSubject Terms: Proteomics, 0301 basic medicine, COVID-19 / virology, Computational Biology / methods, Molecular Sequence Annotation / methods, Proteome, Knowledge Bases, Proteomics / methods, ddc:616.0757, SARS-CoV-2 / physiology, COVID-19 / epidemiology, User-Computer Interface, Viral Proteins, 03 medical and health sciences, SARS-CoV-2 / genetics, Data Curation / methods, Genetics, Viral Proteins / genetics, Database Issue, Humans, SARS-CoV-2 / metabolism, Databases, Protein, Pandemics, Data Curation, Proteome / metabolism, Proteome / genetics, Internet, 0303 health sciences, 616.0757, SARS-CoV-2, COVID-19 / prevention & control, COVID-19, Computational Biology, Molecular Sequence Annotation, 3. Good health, Viral Proteins / metabolism
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Access URL: https://academic.oup.com/nar/article-pdf/49/D1/D480/35364103/gkaa1100.pdf
https://pubmed.ncbi.nlm.nih.gov/33237286
https://dblp.uni-trier.de/db/journals/nar/nar49.html#BatemanMOMAAABB21
https://doi.org/10.1093/nar/gkaa1100
https://academic.oup.com/nar/article/49/D1/D480/6006196
https://archive-ouverte.unige.ch/unige:159643
https://archive-ouverte.unige.ch/unige:159643
https://doi.org/10.1093/nar/gkaa1100
https://repository.publisso.de/resource/frl:6425514 -
11
Authors: et al.
Subject Terms: Animals, Biofilms, Candida albicans/genetics, Drosophila melanogaster/genetics, Genome, Bacterial, Fungal, Humans, Locomotion, Memory, Long-Term, Molecular Sequence Annotation/methods, Molecular Sequence Annotation/trends, Pseudomonas aeruginosa/genetics, Biofilm, Community challenge, Critical assessment, Long-term memory, Protein function prediction
File Description: application/pdf
Relation: Genome Biology; https://iris.unil.ch/handle/iris/160135; serval:BIB_C7AA251F42E4; 000498615000001
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12
Authors: et al.
Contributors: et al.
Source: Lotchkova, V, Ritchie, G R S, Geihs, M, Morganella, S, Min, J, Walter, K, Timpson, N, Dunham, I, Birney, E, Soranzo, N 2019, 'GARFIELD classifies disease-relevant genomic features through integration of functional annotations with association signals', Nature Genetics, vol. 51, no. 2, pp. 343-353. https://doi.org/10.1038/s41588-018-0322-6
Subject Terms: 0301 basic medicine, Quantitative Trait Loci, Molecular Sequence Annotation/methods, Regulatory Sequences, Nucleic Acid, Polymorphism, Single Nucleotide, 03 medical and health sciences, Nucleic Acid/genetics, Humans, Disease, Polymorphism, name=ICEP, 0303 health sciences, Genome, Molecular Sequence Annotation, Genomics, Regulatory Sequences, Nucleic Acid/genetics, Polymorphism, Single Nucleotide/genetics, Genomics/methods, Phenotype, Disease/genetics, Genome-Wide Association Study/methods, Genome/genetics, Quantitative Trait Loci/genetics, Single Nucleotide/genetics, Regulatory Sequences, Software, Genome-Wide Association Study
File Description: application/pdf
Access URL: https://europepmc.org/articles/pmc6908448?pdf=render
https://pubmed.ncbi.nlm.nih.gov/30692680
https://openaccess.sgul.ac.uk/id/eprint/111171/1/NG_TR42787R3.pdf
http://europepmc.org/abstract/MED/30692680
https://www.ncbi.nlm.nih.gov/pubmed/30692680
https://www.imm.ox.ac.uk/publications/967847
https://research-repository.uwa.edu.au/en/publications/garfield-classifies-disease-relevant-genomic-features-through-int
https://research-information.bris.ac.uk/en/publications/garfield-classifies-diseaserelevant-genomic-features-through-integration-of-functional-annotations-with-association-signals(0e2db47f-cc0c-4b80-bae5-564c87defb5c).html
https://research-information.bris.ac.uk/files/177787810/NG_TR42787R3.pdf
https://ora.ox.ac.uk/objects/uuid:e11d423a-791b-46d6-9e55-ecb2e94bf407
https://doi.org/10.1038/s41588-018-0322-6
https://research-information.bris.ac.uk/ws/files/177787810/NG_TR42787R3.pdf
https://hdl.handle.net/1983/0e2db47f-cc0c-4b80-bae5-564c87defb5c -
13
Authors: et al.
Contributors: et al.
Subject Terms: Genome, Molecular Sequence Annotation, Molecular Sequence Annotation/classification, Molecular Sequence Annotation/methods, RNA-Seq, Sequence Homology, Nucleic Acid
Relation: https://zenodo.org/records/14962941; oai:zenodo.org:14962941; https://doi.org/10.5281/zenodo.14962941
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14
Authors:
Contributors:
Source: ISSN: 0305-1048 ; Nucleic acids research, vol. 49, no. D1 (2021) p. D480-D489.
Subject Terms: info:eu-repo/classification/ddc/616.0757, COVID-19 / epidemiology, COVID-19 / prevention & control, COVID-19 / virology, Computational Biology / methods, Data Curation / methods, Databases, Protein, Humans, Internet, Knowledge Bases, Molecular Sequence Annotation / methods, Pandemics, Proteome / genetics, Proteome / metabolism, Proteomics / methods, SARS-CoV-2 / genetics, SARS-CoV-2 / metabolism, SARS-CoV-2 / physiology, User-Computer Interface, Viral Proteins / genetics, Viral Proteins / metabolism
Relation: info:eu-repo/semantics/altIdentifier/pmid/33237286; info:eu-repo/semantics/dataset/url/https://www.uniprot.org/downloads; unige:159643
Availability: https://archive-ouverte.unige.ch/unige:159643
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15
Authors: et al.
Source: Computer Science Faculty Publications
Subject Terms: Computational biology/methods, Database, Databases, Genetic, Fusions, Genes, Neoplasm, Genomics/methods, Humans, Molecular sequence annotation/methods, Neoplasms/genetics, Neural networks, computer, Pathway, Search, Signatures, Artificial Intelligence and Robotics, Cancer Biology, Computational Biology, Genetics and Genomics
File Description: application/pdf
Relation: https://digitalcommons.odu.edu/computerscience_fac_pubs/334; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1339/viewcontent/Li_2024_IdentifyingNewCancerGenesBasedontheIntegrationofAnnotatedGeneSetsViaHypergraphOCRed.pdf; https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1339/filename/0/type/additional/viewcontent/Li_2024_SuppMaterialsIdentifyingNewCancerGenes.pdf
Availability: https://digitalcommons.odu.edu/computerscience_fac_pubs/334
https://doi.org/10.1093/bioinformatics/btae257
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1339/viewcontent/Li_2024_IdentifyingNewCancerGenesBasedontheIntegrationofAnnotatedGeneSetsViaHypergraphOCRed.pdf
https://digitalcommons.odu.edu/context/computerscience_fac_pubs/article/1339/filename/0/type/additional/viewcontent/Li_2024_SuppMaterialsIdentifyingNewCancerGenes.pdf -
16
Authors:
Source: Methods in Molecular Biology ISBN: 9781493991723
Methods in Molecular Biology, Vol. 1962 (2019) pp. 227-245Subject Terms: Internet, Genome, ddc:025.063/570, 4. Education, Molecular Sequence Annotation/methods, Gene Dosage, Molecular Sequence Annotation, Genomics, Markov Chains, Genomics/methods, 3. Good health, Databases, Genetic, Databases, Genetic, ddc:576.5, Transcriptome, Software
Access URL: https://pubmed.ncbi.nlm.nih.gov/31020564
https://archive-ouverte.unige.ch/unige:123167
https://europepmc.org/article/MED/31020564
https://link.springer.com/content/pdf/10.1007%2F978-1-4939-9173-0_14.pdf
https://link.springer.com/protocol/10.1007/978-1-4939-9173-0_14
https://www.ncbi.nlm.nih.gov/pubmed/31020564
https://pubmed.ncbi.nlm.nih.gov/31020564/
https://archive-ouverte.unige.ch/unige:123167 -
17
Authors: et al.
Contributors: et al.
Source: Genome Biol
Repisalud
Instituto de Salud Carlos III (ISCIII)
Genome Biology, Vol 20, Iss 1, Pp 1-23 (2019)
Genome biology
Genome biology, vol. 20, no. 1, pp. 244
Zhou, N, Jiang, Y, Bergquist, T R, Lee, A J, Kacsoh, B Z, Crocker, A W, Lewis, K A, Georghiou, G, Nguyen, H N, Hamid, M N, Davis, L, Dogan, T, Atalay, V, Rifaioglu, A S, Dalklran, A, Cetin Atalay, R, Zhang, C, Hurto, R L, Freddolino, P L, Zhang, Y, Bhat, P, Supek, F, Fernández, J M, Gemovic, B, Perovic, V R, Davidović, R S, Sumonja, N, Veljkovic, N, Asgari, E, Mofrad, M R K, Profiti, G, Savojardo, C, Martelli, P L, Casadio, R, Boecker, F, Schoof, H, Kahanda, I, Thurlby, N, McHardy, A C, Renaux, A, Saidi, R, Gough, J, Freitas, A A, Antczak, M, Fabris, F, Wass, M N, Hou, J, Cheng, J, Wang, Z, Romero, A E, Paccanaro, A, Yang, H, Goldberg, T, Zhao, C, Holm, L, Törönen, P, Medlar, A J, Zosa, E, Borukhov, I, Novikov, I, Wilkins, A, Lichtarge, O, Chi, P H, Tseng, W C, Linial, M, Rose, P W, Dessimoz, C, Vidulin, V, Dzeroski, S, Sillitoe, I, Das, S, Lees, J G, Jones, D T, Wan, C, Cozzetto, D, Fa, R, Torres, M, Warwick Vesztrocy, A, Rodriguez, J M, Tress, M L, Frasca, M, Notaro, M, Grossi, G, Petrini, A, Re, M, Valentini, G, Mesiti, M, Roche, D B, Reeb, J, Ritchie, D W, Aridhi, S, Alborzi, S Z, Devignes, M D, Koo, D C E, Bonneau, R, Gligorijević, V, Barot, M, Fang, H, Toppo, S, Lavezzo, E, Falda, M, Berselli, M, Tosatto, S C E, Carraro, M, Piovesan, D, Ur Rehman, H, Mao, Q, Zhang, S, Vucetic, S, Black, G S, Jo, D, Suh, E, Dayton, J B, Larsen, D J, Omdahl, A R, McGuffin, L J, Brackenridge, D A, Babbitt, P C, Yunes, J M, Fontana, P, Zhang, F, Zhu, S, You, R, Zhang, Z, Dai, S, Yao, S, Tian, W, Cao, R, Chandler, C, Amezola, M, Johnson, D, Chang, J M, Liao, W H, Liu, Y W, Pascarelli, S, Frank, Y, Hoehndorf, R, Kulmanov, M, Boudellioua, I, Politano, G, Di Carlo, S, Benso, A, Hakala, K, Ginter, F, Mehryary, F, Kaewphan, S, Björne, J, Moen, H, Tolvanen, M E E, Salakoski, T, Kihara, D, Jain, A, Šmuc, T, Altenhoff, A, Ben-Hur, A, Rost, B, Brenner, S E, Orengo, C A, Jeffery, C J, Bosco, G, Hogan, D A, Martin, M J, O'Donovan, C, Mooney, S D, Greene, C S, Radivojac, P & Friedberg, I 2019, 'The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens', Genome Biology, vol. 20, no. 1, 244 (2019). https://doi.org/10.1186/s13059-019-1835-8
Genome Biology
Genome Biology, vol 20, iss 1Subject Terms: Male, 02 engineering and technology, Protein function prediction, Long-term memory, Biofilm, Critical assessment, Community challenge, Procedures, Gene, biofilm, Candida albicans, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], Biology (General), Biological ontology, Settore BIO/11 - BIOLOGIA MOLECOLARE, 0303 health sciences, Bacterial, Plant leaf, Life Sciences, Genomics, 16. Peace & justice, ddc, Analysis of Gene Interaction Networks, Functional Genomics, 3. Good health, Fungal, Drosophila melanogaster, Fungal genome, LIBRARY, Medicine, Genome, Fungal, protein function prediction, Locomotion, Human, Memory, Long-Term, QH301-705.5, Bioinformatics, Annotation, Generation, Medical biotechnology, Long-Term, Article, Big data, 03 medical and health sciences, Memory, Pseudomonas, Health Sciences, Genetics, Humans, Molecular Biology, Biology, Pharmacology, IDENTIFICATION, Animal, 9. Industry and infrastructure, Animals, Biofilms, Candida albicans/genetics, Drosophila melanogaster/genetics, Genome, Bacterial, Molecular Sequence Annotation/methods, Molecular Sequence Annotation/trends, Pseudomonas aeruginosa/genetics, Quality Assessment, Molecular Sequence Annotation, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Computer science, Long-Term memory, FOS: Biological sciences, Generic health relevance, GENERATION, Library, FOS: Computer and information sciences, 0301 basic medicine, Identification, genome annotation, Candida-albicans, QH426-470, Computational biology, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Molecular genetics, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Genome, Biotechnology & applied microbiology, Ontology, Expectation, 4. Education, Genetics & heredity, Functional genomics, Biological Sciences, Networking and Information Technology R&D (NITRD), Human experiment, Function (biology), Pseudomonas aeruginosa, Functional Annotations, Female, BIOINFORMATICS, Adult, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Long term memory, 0206 medical engineering, Bacterial genome, Information and Computing Sciences, Biochemistry, Genetics and Molecular Biology, RNA Sequencing Data Analysis, CANDIDA-ALBICANS, Research, Human Genome, Natural Products as Sources of New Drugs, Nonhuman, ONTOLOGY, Proteins | Genes | Protein functions, Environmental Sciences
File Description: application/pdf; Elettronico/Electronic
Access URL: https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-019-1835-8
https://pubmed.ncbi.nlm.nih.gov/31744546
https://www.bib.irb.hr/1252143
https://doi.org/10.1186/s13059-019-1835-8
http://hdl.handle.net/20.500.12105/8932
http://hdl.handle.net/20.500.12105/9316
https://kar.kent.ac.uk/79143/1/s13059-019-1835-8.pdf
https://centaur.reading.ac.uk/86892/1/s13059-019-1835-8.pdf
https://doaj.org/article/4c2b017b155b41ceab8d6d078186cafa
https://inria.hal.science/hal-02393202v1
https://doi.org/10.1186/s13059-019-1835-8
https://www.biorxiv.org/content/10.1101/653105v1
https://www.biorxiv.org/content/biorxiv/early/2019/05/29/653105.full.pdf
https://www.biorxiv.org/content/10.1101/653105v1.full-text
https://europepmc.org/abstract/PPR/PPR80644
https://repository.kaust.edu.sa/handle/10754/660434
https://pubmed.ncbi.nlm.nih.gov/31744546/
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https://centaur.reading.ac.uk/86892/
https://escholarship.org/uc/item/0zt8n2q8
http://hdl.handle.net/10033/622038
https://hdl.handle.net/2434/699576
https://doi.org/10.1186/s13059-019-1835-8
http://hdl.handle.net/10138/309448
https://serval.unil.ch/notice/serval:BIB_C7AA251F42E4
https://serval.unil.ch/resource/serval:BIB_C7AA251F42E4.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_C7AA251F42E42
https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-019-1835-8
https://doi.org/10.1186/s13059-019-1835-8
https://hdl.handle.net/11583/2776153
https://research-information.bris.ac.uk/en/publications/f220ba32-b146-43ec-8c61-41826ad527ab
https://hdl.handle.net/1983/f220ba32-b146-43ec-8c61-41826ad527ab
https://hdl.handle.net/11577/3315952
https://doi.org/10.1186/s13059-019-1835-8
https://hdl.handle.net/10449/58573
https://doi.org/10.1186/s13059-019-1835-8
https://biblio.vub.ac.be/vubir/the-cafa-challenge-reports-improved-protein-function-prediction-and-new-functional-annotations-for-hundreds-of-genes-through-experimental-screens(28914363-0034-4941-8225-8506a66ed964).html
https://vinar.vin.bg.ac.rs/handle/123456789/8655
http://hdl.handle.net/11655/24591
https://hdl.handle.net/20.500.12508/1163
https://discovery-pp.ucl.ac.uk/id/eprint/10086582/
https://escholarship.org/uc/item/0zt8n2q8
https://escholarship.org/content/qt0zt8n2q8/qt0zt8n2q8.pdf
https://mediatum.ub.tum.de/1545248 -
18
Authors: et al.
Source: eLife
eLife, Vol 6 (2017)
eLife, 6
elifeSubject Terms: Genetics, Microbial, 0301 basic medicine, transposon, Supplementary Data, QH301-705.5, Microbial/methods, Science, protein domains, Genes, Fungal, Molecular Sequence Annotation/methods, Insertional/methods, Saccharomyces cerevisiae, R Medicine (General), yeast, Saccharomyces cerevisiae/genetics, 03 medical and health sciences, genetic interaction, Genetics, Biology (General), pharmacogenomics, 0303 health sciences, Genome, Molecular Sequence Annotation, DNA, Cell Biology, Sequence Analysis, DNA, 337906-OrgaNet, R1, TORC1, 3. Good health, Mutagenesis, Insertional, Fungal, Genes, Mutagenesis, DNA Transposable Elements, Medicine, Genome, Fungal, Sequence Analysis, European Research Council
File Description: application/application/pdf; application/pdf
Access URL: https://pubmed.ncbi.nlm.nih.gov/28481201
https://doaj.org/article/c9c8b85971e64a0b8c2907d500bae38d
https://aura.abdn.ac.uk/bitstream/2164/14804/1/Michel_etal_elife_Functional_mapping_VOR.pdf
http://www.ncbi.nlm.nih.gov/pubmed/28481201
https://abdn.pure.elsevier.com/en/publications/functional-mapping-of-yeast-genomes-by-saturated-transposition
http://europepmc.org/articles/PMC5466422
https://pubmed.ncbi.nlm.nih.gov/28481201/
https://cdn.elifesciences.org/articles/23570/elife-23570-v2.pdf
https://ora.ox.ac.uk/objects/uuid:98309638-fa07-488c-bee2-c86aa7856cdf
https://doi.org/10.7554/elife.23570
http://hdl.handle.net/20.500.11850/229099
http://doc.rero.ch/record/288907/files/vir_fmy.pdf -
19
Authors: et al.
Contributors: et al.
Source: ISSN: 1367-4803.
Subject Terms: MESH: Centromere/genetics, MESH: Consensus Sequence, MESH: DNA, Ribosomal/genetics, MESH: Genetic Loci/genetics, MESH: Genome, Fungal/genetics, MESH: Genomics/methods, MESH: Molecular Sequence Annotation/methods, MESH: Saccharomycetales/genetics, MESH: Synteny, [SDV]Life Sciences [q-bio]
Relation: info:eu-repo/semantics/altIdentifier/pmid/24711652; info:eu-repo/grantAgreement//260822/EU/Dynamic Interplay between Eukaryotic Chromosomes: Impact on Genome Stability/DICIG; PUBMED: 24711652
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Authors: et al.
Source: BMC bioinformatics, 13 Suppl 4
Subject Terms: Informatique appliquée logiciel, Génétique moléculaire, Algorithms, Databases, Genetic, Genome, Plant, High-Throughput Nucleotide Sequencing, Malus -- genetics, Markov Chains, Molecular Sequence Annotation -- methods, Proteins -- genetics, Semantics, Vitis -- genetics, Vocabulary, Controlled
File Description: 1 full-text file(s): application/pdf
Relation: uri/info:pmid/22536960; uri/info:pmcid/PMC3314586; https://dipot.ulb.ac.be/dspace/bitstream/2013/131697/4/doi_113790.pdf
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