This article is part of the supplement: EGASP '05: ENCODE Genome Annotation Assessment Project
Vertebrate gene finding from multiple-species alignments using a two-level strategy
-
* Corresponding author: David Carter dmc@sanger.ac.uk
Genome Biology 2006, 7(Suppl 1):S6 doi:10.1186/gb-2006-7-s1-s6
Accesses
- Last 30 days: 18 accesses
- Last year: 419 accesses
- All time: 2397 accesses
Cited by
BioMed Central: 4 citations
|
Research article
Katherine M Buckley, Liliana D Florea, L Courtney Smith BMC Genomics 2009, 10:318 (16 July 2009) |
|
Methodology article
Reranking candidate gene models with cross-species comparison for improved gene prediction Qian Liu, Koby Crammer, Fernando CN Pereira, David S Roos BMC Bioinformatics 2008, 9:433 (14 October 2008) |
|
Method
CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction Samuel S Gross, Chuong B Do, Marina Sirota, Serafim Batzoglou Genome Biology 2007, 8:R269 (20 December 2007) CONTRAST is a gene predictor that directly incorporates information from multiple alignments and uses discriminative machine learning techniques to give large improvements in prediction over previous methods. |
|
Review
EGASP: the human ENCODE Genome Annotation Assessment Project Roderic Guigó, Paul Flicek, Josep F Abril, Alexandre Reymond, Julien Lagarde, France Denoeud, Stylianos Antonarakis, Michael Ashburner, Vladimir B Bajic, Ewan Birney, Robert Castelo, Eduardo Eyras, Catherine Ucla, Thomas R Gingeras, Jennifer Harrow, Tim Hubbard, Suzanna E Lewis, Martin G Reese Genome Biology 2006, 7(Suppl 1):S2 (7 August 2006) |
