Literature DB >> 10322203

Genome annotation: which tools do we have for it?

P Rouzé1, N Pavy, S Rombauts.   

Abstract

Genome data have to be converted into knowledge to be useful to biologists. Many valuable computational tools have already been developed to help annotation of plant genome sequences, and these may be improved further, for example by identification of more gene regulatory elements. The lack of a standard computer-assisted annotation platform for eukaryotic genomes remains major bottle-neck.

Mesh:

Year:  1999        PMID: 10322203     DOI: 10.1016/S1369-5266(99)80019-3

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  18 in total

1.  Extensive duplication and reshuffling in the Arabidopsis genome.

Authors:  G Blanc; A Barakat; R Guyot; R Cooke; M Delseny
Journal:  Plant Cell       Date:  2000-07       Impact factor: 11.277

2.  Massive sequence comparisons as a help in annotating genomic sequences.

Authors:  A Louis; E Ollivier; J C Aude; J L Risler
Journal:  Genome Res       Date:  2001-07       Impact factor: 9.043

3.  Genome-wide analysis of core cell cycle genes in Arabidopsis.

Authors:  Klaas Vandepoele; Jeroen Raes; Lieven De Veylder; Pierre Rouzé; Stephane Rombauts; Dirk Inzé
Journal:  Plant Cell       Date:  2002-04       Impact factor: 11.277

Review 4.  Search and discovery strategies for biotechnology: the paradigm shift.

Authors:  A T Bull; A C Ward; M Goodfellow
Journal:  Microbiol Mol Biol Rev       Date:  2000-09       Impact factor: 11.056

5.  The automatic detection of homologous regions (ADHoRe) and its application to microcolinearity between Arabidopsis and rice.

Authors:  Klaas Vandepoele; Yvan Saeys; Cedric Simillion; Jeroen Raes; Yves Van De Peer
Journal:  Genome Res       Date:  2002-11       Impact factor: 9.043

Review 6.  Application of physiological genomics to the study of hearing disorders.

Authors:  Stefan Heller
Journal:  J Physiol       Date:  2002-08-15       Impact factor: 5.182

Review 7.  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

8.  The phytophthora genome initiative database: informatics and analysis for distributed pathogenomic research.

Authors:  M Waugh; P Hraber; J Weller; Y Wu; G Chen; J Inman; D Kiphart; B Sobral
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 9.  Structural and functional analysis of rice genome.

Authors:  Akhilesh K Tyagi; Jitendra P Khurana; Paramjit Khurana; Saurabh Raghuvanshi; Anumapa Gaur; Anita Kapur; Vikrant Gupta; Dibyendu Kumar; V Ravi; Shubha Vij; Parul Khurana; Sulabha Sharma
Journal:  J Genet       Date:  2004-04       Impact factor: 1.166

10.  Comparative gene expression analysis of susceptible and resistant near-isogenic lines in common wheat infected by Puccinia triticina.

Authors:  Alagu Manickavelu; Kanako Kawaura; Kazuko Oishi; Tadasu Shin-I; Yuji Kohara; Nabila Yahiaoui; Beat Keller; Ayako Suzuki; Kentaro Yano; Yasunari Ogihara
Journal:  DNA Res       Date:  2010-04-01       Impact factor: 4.458

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