Results 11 to 20 of about 566,833 (345)

A gene wiki for community annotation of gene function. [PDF]

PLoS Biology, 2008
This manuscript describes the creation of comprehensive gene wiki, seeded with data from public domain sources, which will enable and encourage community annotation of gene function.
Jon W Huss, Camilo Orozco, James Goodale, Chunlei Wu, Serge Batalov, Tim J Vickers, Faramarz Valafar, Andrew I Su   +7 more
doaj   +6 more sources

COGNATE: comparative gene annotation characterizer

BMC Genomics, 2017
Background The comparison of gene and genome structures across species has the potential to reveal major trends of genome evolution. However, such a comparative approach is currently hampered by a lack of standardization (e.g., Elliott TA, Gregory TR ...
Jeanne Wilbrandt, Bernhard Misof, Oliver Niehuis   +2 more
doaj   +4 more sources

Consistent annotation of gene expression arrays [PDF]

BMC Genomics, 2010
Background Gene expression arrays are valuable and widely used tools for biomedical research. Today's commercial arrays attempt to measure the expression level of all of the genes in the genome.
Proctor Glenn, Johnson Nathan, Ballester Benoît, Flicek Paul   +3 more
doaj   +4 more sources

Gene characterization index: assessing the depth of gene annotation.

PLoS ONE, 2008
BackgroundWe introduce the Gene Characterization Index, a bioinformatics method for scoring the extent to which a protein-encoding gene is functionally described. Inherently a reflection of human perception, the Gene Characterization Index is applied for
Danielle Kemmer, Raf M Podowski, Dimas Yusuf, Jochen Brumm, Warren Cheung, Claes Wahlestedt, Boris Lenhard, Wyeth W Wasserman   +7 more
doaj   +4 more sources

Gene discovery by stringent annotation [PDF]

Genome Biology, 2001
Jonathan B Weitzman
openalex   +3 more sources

GoFigure: Automated Gene Ontology™ annotation [PDF]

Bioinformatics, 2003
Abstract Summary: We have developed a web tool to predict Gene Ontology (GO) terms. The tool accepts an input DNA or protein sequence, and uses BLAST to identify homologous sequences in GO annotated databases. A graph is returned to the user via email. Availability: The tool is freely available at: http://udgenome.ags.udel.
Salim Khan, Gang Situ, Keith Decker, Carl J. Schmidt   +3 more
openalex   +4 more sources

GeneMachine: gene prediction and sequence annotation [PDF]

Bioinformatics, 2001
Abstract Motivation: A number of free-standing programs have been developed in order to help researchers find potential coding regions and deduce gene structure for long stretches of what is essentially ‘anonymous DNA’. As these programs apply inherently different criteria to the question of what is and is not a coding region, multiple ...
Izabela Makałowska, Joseph F. Ryan, Andreas D. Baxevanis   +2 more
openalex   +4 more sources

Annotation matters: the effect of structural gene annotation on orthology inference. [PDF]

Bioinformatics
Abstract Motivation In silico gene annotation, the process of identifying the genes present in a genome, remains a challenging task. As genome assemblies rapidly increase, the corresponding gene models and repertoires often fall short in quality.
Prieto-Baños S, Nevers Y, Altenhoff A, Warwick Vesztrocy A, Dessimoz C, Glover NM.   +5 more
europepmc   +4 more sources

Annotation of plasmid genes [PDF]

Plasmid, 2017
Good annotation of plasmid genomes is essential to maximise the value of the rapidly increasing volume of plasmid sequences. This short review highlights some of the current issues and suggests some ways forward. Where a well-studied related plasmid system exists we recommend that new annotation adheres to the convention already established for that ...
Eva M. Top, Laura S. Frost, Celeste J. Brown, Ana Cerdeño-Tárraga, Nicholas R. Thomson, Christopher M. Thomas   +5 more
openaire   +3 more sources

Gene Ontology Annotations and Resources [PDF]

Nucleic Acids Research, 2012
The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations.
Gene Ontology Consortium, Blake, JA, Dolan, M, Drabkin, H, Hill, DP, Li, Ni, Sitnikov, D, Bridges, S, Burgess, S, Buza, T, McCarthy, F, Peddinti, D, Pillai, L, Carbon, S, Dietze, H, Ireland, A, Lewis, SE, Mungall, CJ, Gaudet, P, Chrisholm, RL, Fey, P, Kibbe, WA, Basu, S, Siegele, DA, McIntosh, BK, Renfro, DP, Zweifel, AE, Hu, JC, Brown, NH, Tweedie, S, Alam-Faruque, Y, Apweiler, R, Auchinchloss, A, Axelsen, K, Bely, B, Blatter, M-C, Bonilla, C, Bouguerleret, L, Boutet, E, Breuza, L, Bridge, A, Chan, WM, Chavali, G, Coudert, E, Dimmer, E, Estreicher, A, Famiglietti, L, Feuermann, M, Gos, A, Gruaz-Gumowski, N, Hieta, R, Hinz, C, Hulo, C, Huntley, R, James, J, Jungo, F, Keller, G, Laiho, K, Legge, D, Lemercier, P, Lieberherr, D, Magrane, M, Martin, MJ, Masson, P, Mutowo-Muellenet, P, O'Donovan, C, Pedruzzi, I, Pichler, K, Poggioli, D, Porras Millán, P, Poux, S, Rivoire, C, Roechert, B, Sawford, T, Schneider, M, Stutz, A, Sundaram, S, Tognolli, M, Xenarios, I, Foulgar, R, Lomax, J, Roncaglia, P, Khodiyar, VK, Lovering, RC, Talmud, PJ, Chibucos, M, Giglio, M Gwinn, Chang, H-Y, Hunter, S, McAnulla, C, Mitchell, A, Sangrador, A, Stephan, R, Harris, MA, Oliver, SG, Rutherford, K, Wood, V, Bahler, J, Lock, A, Kersey, PJ, McDowall, DM, Staines, DM, Dwinell, M, Shimoyama, M, Laulederkind, S, Hayman, T, Wang, S-J, Petri, V, Lowry, T, D'Eustachio, P, Matthews, L, Balakrishnan, R, Binkley, G, Cherry, JM, Costanzo, MC, Dwight, SS, Engel, SR, Fisk, DG, Hitz, BC, Hong, EL, Karra, K, Miyasato, SR, Nash, RS, Park, J, Skrzypek, MS, Weng, S, Wong, ED, Berardini, TZ, Huala, E, Mi, H, Thomas, PD, Chan, J, Kishore, R, Sternberg, P, Van Auken, K, Howe, D, Westerfield, M   +136 more
openaire   +6 more sources