Literature DB >> 11466973

The role of pattern databases in sequence analysis.

T K Attwood1.   

Abstract

In the wake of the numerous now-fruitful genome projects, we are entering an era rich in biological data. The field of bioinformatics is poised to exploit this information in increasingly powerful ways, but the abundance and growing complexity both of the data and of the tools and resources required to analyse them are threatening to overwhelm us. Databases and their search tools are now an essential part of the research environment. However, the rate of sequence generation and the haphazard proliferation of databases have made it difficult to keep pace with developments. In an age of information overload, researchers want rapid, easy-to-use, reliable tools for functional characterisation of newly determined sequences. But what are those tools? How do we access them? Which should we use? This review focuses on a particular type of database that is increasingly used in the task of routine sequence analysis--the so-called pattern database. The paper aims to provide an overview of the current status of pattern databases in common use, outlining the methods behind them and giving pointers on their diagnostic strengths and weaknesses.

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Year:  2000        PMID: 11466973     DOI: 10.1093/bib/1.1.45

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  7 in total

1.  The SBASE protein domain library, release 9.0: an online resource for protein domain identification.

Authors:  Kristian Vlahovicek; János Murvai; Endre Barta; Sándor Pongor
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Prediction of protein functional domains from sequences using artificial neural networks.

Authors:  J Murvai; K Vlahovicek; C Szepesvári; S Pongor
Journal:  Genome Res       Date:  2001-08       Impact factor: 9.043

3.  The nature of protein domain evolution: shaping the interaction network.

Authors:  Christoph P Bagowski; Wouter Bruins; Aartjan J W Te Velthuis
Journal:  Curr Genomics       Date:  2010-08       Impact factor: 2.236

4.  BrEPS: a flexible and automatic protocol to compute enzyme-specific sequence profiles for functional annotation.

Authors:  C Bannert; A Welfle; C Aus dem Spring; D Schomburg
Journal:  BMC Bioinformatics       Date:  2010-12-01       Impact factor: 3.169

5.  Linking fold, function and phylogeny: a comparative genomics view on protein (domain) evolution.

Authors:  Aartjan J W Te Velthuis; Christoph P Bagowski
Journal:  Curr Genomics       Date:  2008-04       Impact factor: 2.236

6.  PCAS--a precomputed proteome annotation database resource.

Authors:  Yong Zhang; Yanbin Yin; Yunjia Chen; Ge Gao; Peng Yu; Jingchu Luo; Ying Jiang
Journal:  BMC Genomics       Date:  2003-11-01       Impact factor: 3.969

7.  Functional annotations in bacterial genomes based on small RNA signatures.

Authors:  Jayavel Sridhar; Ziauddin Ahamed Rafi
Journal:  Bioinformation       Date:  2008-04-04
  7 in total

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