Literature DB >> 8670621

On-line tools for sequence retrieval and multivariate statistics in molecular biology.

G Perrière1, J Thioulouse.   

Abstract

We have developed a World-Wide Web server for browsing sequence collections structured under the ACNUC format and for performing multivariate analyses on sequences. General collections (like GenBank or EMBL), as well as specialized data banks (like Hovergen and NRSub) can be accessed. This system allows complex queries to be constructed, and the result of each query, represented by a list of sequences, is stored on the server. It is then possible to reuse this list to compute multivariate analyses on the sequences. Two examples of applications are shown. The first one consists in a study of codon usage with correspondence analysis on all the protein genes of Haemophilus influenzae Rd. This study allows the highly expressed genes and the integral membrane proteins of this organism to be identified. The second one consists in an ordering of 70 aligned protein sequences of growth hormone with principal coordinate analysis. With this method, we are able to re-establish the patterns of relationships between the sequences previously determined with tree building programs.

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Year:  1996        PMID: 8670621     DOI: 10.1093/bioinformatics/12.1.63

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  4 in total

1.  The non-redundant Bacillus subtilis (NRSub) database: update 1998.

Authors:  G Perrière; M Gouy; T Gojobori
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

2.  The NRSub database: update 1997.

Authors:  G Perrière; I Moszer; T Gojobori
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

3.  HOPPSIGEN: a database of human and mouse processed pseudogenes.

Authors:  Adel Khelifi; Khelifi Adel; Laurent Duret; Duret Laurent; Dominique Mouchiroud; Mouchiroud Dominique
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

4.  Comparison of correspondence analysis methods for synonymous codon usage in bacteria.

Authors:  Haruo Suzuki; Celeste J Brown; Larry J Forney; Eva M Top
Journal:  DNA Res       Date:  2008-10-21       Impact factor: 4.458

  4 in total

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