Literature DB >> 12464690

Gene homology resources on the World Wide Web.

Alexander Turchin1, Isaac S Kohane.   

Abstract

As the amount of information available to biologists increases exponentially, data analysis becomes progressively more challenging. Sequence homology has been a traditional tool in the researchers' armamentarium; it is a very versatile instrument and can be employed to assist in numerous tasks, from establishing the function of a gene to determination of the evolutionary development of an organism. Consequently, numerous specialized tools have been established in the public domain (most commonly, the World Wide Web) to help investigators use sequence homology in their research. These homology databases differ both in techniques they use to compare sequences as well as in the size of the unit of analysis, which can be the whole gene, a domain, or a motif. In this paper, we aim to present a systematic review of the inner details of the most commonly used databases as well as to offer guidelines for their use.

Mesh:

Year:  2002        PMID: 12464690     DOI: 10.1152/physiolgenomics.00112.2002

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  2 in total

1.  GeneBrowser 2: an application to explore and identify common biological traits in a set of genes.

Authors:  Joel P Arrais; João Fernandes; João Pereira; José Luís Oliveira
Journal:  BMC Bioinformatics       Date:  2010-07-21       Impact factor: 3.169

2.  Phylogenetic diversity of stress signalling pathways in fungi.

Authors:  Elissavet Nikolaou; Ino Agrafioti; Michael Stumpf; Janet Quinn; Ian Stansfield; Alistair J P Brown
Journal:  BMC Evol Biol       Date:  2009-02-21       Impact factor: 3.260

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.