Literature DB >> 9779421

Computational methods for exon detection.

J M Claverie1.   

Abstract

Computer methods for the complete and accurate detection of genes in vertebrate genomic sequences are still a long way to perfection. The intermediate task of identifying the coding moiety of genes (coding exons) is now reasonably well achieved using a combination of methods. After reviewing the intrinsic difficulties in interpreting vertebrate genomic sequences, this article presents the state-of-the-art, with an emphasis on similarity search methods and the resources available through Internet.

Mesh:

Year:  1998        PMID: 9779421     DOI: 10.1007/BF02745861

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  78 in total

1.  Introns in sequence tags.

Authors:  T R Bürglin; T M Barnes
Journal:  Nature       Date:  1992-06-04       Impact factor: 49.962

2.  A novel synapse-associated noncoding RNA.

Authors:  M A Velleca; M C Wallace; J P Merlie
Journal:  Mol Cell Biol       Date:  1994-11       Impact factor: 4.272

3.  A segment-based dynamic programming algorithm for predicting gene structure.

Authors:  T D Wu
Journal:  J Comput Biol       Date:  1996       Impact factor: 1.479

4.  Toward the development of a gene index to the human genome: an assessment of the nature of high-throughput EST sequence data.

Authors:  J S Aaronson; B Eckman; R A Blevins; J A Borkowski; J Myerson; S Imran; K O Elliston
Journal:  Genome Res       Date:  1996-09       Impact factor: 9.043

5.  Cancer genome anatomy project set for take-off.

Authors:  B Kuska
Journal:  J Natl Cancer Inst       Date:  1996-12-18       Impact factor: 13.506

6.  Ancient patterns in nucleic acid sequences.

Authors:  J C Shepherd
Journal:  Methods Enzymol       Date:  1990       Impact factor: 1.600

7.  Identification of protein coding regions by database similarity search.

Authors:  W Gish; D J States
Journal:  Nat Genet       Date:  1993-03       Impact factor: 38.330

8.  Method to determine the reading frame of a protein from the purine/pyrimidine genome sequence and its possible evolutionary justification.

Authors:  J C Shepherd
Journal:  Proc Natl Acad Sci U S A       Date:  1981-03       Impact factor: 11.205

9.  The candidate gene for the X-linked Kallmann syndrome encodes a protein related to adhesion molecules.

Authors:  R Legouis; J P Hardelin; J Levilliers; J M Claverie; S Compain; V Wunderle; P Millasseau; D Le Paslier; D Cohen; D Caterina
Journal:  Cell       Date:  1991-10-18       Impact factor: 41.582

10.  The utrophin and dystrophin genes share similarities in genomic structure.

Authors:  M Pearce; D J Blake; J M Tinsley; B C Byth; L Campbell; A P Monaco; K E Davies
Journal:  Hum Mol Genet       Date:  1993-11       Impact factor: 6.150

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  3 in total

1.  SGP-1: prediction and validation of homologous genes based on sequence alignments.

Authors:  T Wiehe; S Gebauer-Jung; T Mitchell-Olds; R Guigó
Journal:  Genome Res       Date:  2001-09       Impact factor: 9.043

2.  Dictionary-driven prokaryotic gene finding.

Authors:  Tetsuo Shibuya; Isidore Rigoutsos
Journal:  Nucleic Acids Res       Date:  2002-06-15       Impact factor: 16.971

3.  Human-mouse gene identification by comparative evidence integration and evolutionary analysis.

Authors:  Lingang Zhang; Vladimir Pavlovic; Charles R Cantor; Simon Kasif
Journal:  Genome Res       Date:  2003-05-12       Impact factor: 9.043

  3 in total

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