Literature DB >> 16094379

EGASP: collaboration through competition to find human genes.

Roderic Guigó1, Martin G Reese.   

Abstract

According to the most recent estimates, the number of human genes is possibly--but not certainly--between 20,000 and 25,000. To contribute strategies to reduce this uncertainty, several groups working on computational gene prediction met recently at the Welcome Trust Sanger Institute with the goal to test and compare predictive methods of genome annotation.

Entities:  

Mesh:

Year:  2005        PMID: 16094379     DOI: 10.1038/nmeth0805-575

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  12 in total

Review 1.  A beginner's guide to eukaryotic genome annotation.

Authors:  Mark Yandell; Daniel Ence
Journal:  Nat Rev Genet       Date:  2012-04-18       Impact factor: 53.242

2.  Coding sequence density estimation via topological pressure.

Authors:  David Koslicki; Daniel J Thompson
Journal:  J Math Biol       Date:  2014-01-22       Impact factor: 2.259

3.  Concerted action of the new Genomic Peptide Finder and AUGUSTUS allows for automated proteogenomic annotation of the Chlamydomonas reinhardtii genome.

Authors:  Michael Specht; Mario Stanke; Mia Terashima; Bianca Naumann-Busch; Ingrid Janssen; Ricarda Höhner; Erik F Y Hom; Chun Liang; Michael Hippler
Journal:  Proteomics       Date:  2011-03-22       Impact factor: 3.984

4.  Quantitative measures for the management and comparison of annotated genomes.

Authors:  Karen Eilbeck; Barry Moore; Carson Holt; Mark Yandell
Journal:  BMC Bioinformatics       Date:  2009-02-23       Impact factor: 3.169

5.  AceView: a comprehensive cDNA-supported gene and transcripts annotation.

Authors:  Danielle Thierry-Mieg; Jean Thierry-Mieg
Journal:  Genome Biol       Date:  2006-08-07       Impact factor: 13.583

6.  AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.

Authors:  Mario Stanke; Ana Tzvetkova; Burkhard Morgenstern
Journal:  Genome Biol       Date:  2006-08-07       Impact factor: 13.583

7.  Using ESTs to improve the accuracy of de novo gene prediction.

Authors:  Chaochun Wei; Michael R Brent
Journal:  BMC Bioinformatics       Date:  2006-07-03       Impact factor: 3.169

8.  Automatic annotation of eukaryotic genes, pseudogenes and promoters.

Authors:  Victor Solovyev; Peter Kosarev; Igor Seledsov; Denis Vorobyev
Journal:  Genome Biol       Date:  2006-08-07       Impact factor: 13.583

9.  AUGUSTUS: ab initio prediction of alternative transcripts.

Authors:  Mario Stanke; Oliver Keller; Irfan Gunduz; Alec Hayes; Stephan Waack; Burkhard Morgenstern
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

10.  Applying negative rule mining to improve genome annotation.

Authors:  Irena I Artamonova; Goar Frishman; Dmitrij Frishman
Journal:  BMC Bioinformatics       Date:  2007-07-21       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.