Literature DB >> 9789092

Gene recognition by combination of several gene-finding programs.

K Murakami1, T Takagi.   

Abstract

MOTIVATION: A number of programs have been developed to predict the eukaryotic gene structures in DNA sequences. However, gene finding is still a challenging problem.
RESULTS: We have explored the effectiveness when the results of several gene-finding programs were re-analyzed and combined. We studied several methods with four programs (FEXH, GeneParser3, GEN-SCAN and GRAIL2). By HIGHEST-policy combination method or BOUNDARY method, approximate correlation (AC) improved by 3-5% in comparison with the best single gene-finding program. From another viewpoint, OR-based combination of the four programs is the most reliable to know whether a candidate exon overlaps with the real exon or not, although it is less sensitive than GENSCAN for exon-intron boundaries. Our methods can easily be extended to combine other programs. AVAILABILITY: We have developed a server program (Shirokane System) and a client program (GeneScope) to use the methods. GeneScope is available through a WWW site (http://gf.genome.ad.jp/). CONTACT: (katsu,takagi)@ims.u-tokyo.ac.jp

Mesh:

Substances:

Year:  1998        PMID: 9789092     DOI: 10.1093/bioinformatics/14.8.665

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  14 in total

1.  Computational gene prediction using multiple sources of evidence.

Authors:  Jonathan E Allen; Mihaela Pertea; Steven L Salzberg
Journal:  Genome Res       Date:  2004-01       Impact factor: 9.043

Review 2.  Current methods of gene prediction, their strengths and weaknesses.

Authors:  Catherine Mathé; Marie-France Sagot; Thomas Schiex; Pierre Rouzé
Journal:  Nucleic Acids Res       Date:  2002-10-01       Impact factor: 16.971

3.  EGPred: prediction of eukaryotic genes using ab initio methods after combining with sequence similarity approaches.

Authors:  Biju Issac; Gajendra Pal Singh Raghava
Journal:  Genome Res       Date:  2004-09       Impact factor: 9.043

4.  Sequence organization and matrix attachment regions of the human serine protease inhibitor gene cluster at 14q32.1.

Authors:  Stephanie J Namciu; Richard D Friedman; Mark D Marsden; Lourdes M Sarausad; Christine L Jasoni; R E K Fournier
Journal:  Mamm Genome       Date:  2004-03       Impact factor: 2.957

5.  Gene and alternative splicing annotation with AIR.

Authors:  Liliana Florea; Valentina Di Francesco; Jason Miller; Russell Turner; Alison Yao; Michael Harris; Brian Walenz; Clark Mobarry; Gennady V Merkulov; Rosane Charlab; Ian Dew; Zuoming Deng; Sorin Istrail; Peter Li; Granger Sutton
Journal:  Genome Res       Date:  2005-01       Impact factor: 9.043

6.  A method for construction, cloning and expression of intron-less gene from unannotated genomic DNA.

Authors:  Vineet Agrawal; Bharti Gupta; Uttam Chand Banerjee; Nilanjan Roy
Journal:  Mol Biotechnol       Date:  2008-06-10       Impact factor: 2.695

7.  A preliminary gene map for the Van der Woude syndrome critical region derived from 900 kb of genomic sequence at 1q32-q41.

Authors:  B C Schutte; B C Bjork; K B Coppage; M I Malik; S G Gregory; D J Scott; L M Brentzell; Y Watanabe; M J Dixon; J C Murray
Journal:  Genome Res       Date:  2000-01       Impact factor: 9.043

8.  Identification of novel human genes evolutionarily conserved in Caenorhabditis elegans by comparative proteomics.

Authors:  C H Lai; C Y Chou; L Y Ch'ang; C S Liu; W Lin
Journal:  Genome Res       Date:  2000-05       Impact factor: 9.043

9.  Genomix: a method for combining gene-finders' predictions, which uses evolutionary conservation of sequence and intron-exon structure.

Authors:  Avril Coghlan; Richard Durbin
Journal:  Bioinformatics       Date:  2007-05-05       Impact factor: 6.937

10.  A method for identifying alternative or cryptic donor splice sites within gene and mRNA sequences. Comparisons among sequences from vertebrates, echinoderms and other groups.

Authors:  Katherine M Buckley; Liliana D Florea; L Courtney Smith
Journal:  BMC Genomics       Date:  2009-07-16       Impact factor: 3.969

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