Literature DB >> 10366280

What we do not know about sequence analysis and sequence databases.

P D Karp.   

Abstract

Mesh：

Year:  1998        PMID： 10366280     DOI： 10.1093/bioinformatics/14.9.753

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


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  31 in total

1.  EXProt: a database for proteins with an experimentally verified function.

Authors:  Björn M Ursing; Frank H J van Enckevort; Jack A M Leunissen; Roland J Siezen
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 2.  Surviving in a sea of data: a survey of plant genome data resources and issues in building data management systems.

Authors:  Leonore Reiser; Lukas A Mueller; Seung Yon Rhee
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

3.  Functional versatility and molecular diversity of the metabolic map of Escherichia coli.

Authors:  S Tsoka; C A Ouzounis
Journal:  Genome Res       Date:  2001-09       Impact factor: 9.043

4.  A semiautomated approach to gene discovery through expressed sequence tag data mining: discovery of new human transporter genes.

Authors:  Shoshana Brown; Jean L Chang; Wolfgang Sadée; Patricia C Babbitt
Journal:  AAPS PharmSci       Date:  2003

5.  Sequence conserved for subcellular localization.

Authors:  Rajesh Nair; Burkhard Rost
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

6.  A semantic analysis of the annotations of the human genome.

Authors:  Purvesh Khatri; Bogdan Done; Archana Rao; Arina Done; Sorin Draghici
Journal:  Bioinformatics       Date:  2005-06-14       Impact factor: 6.937

7.  Analysis of the peroxiredoxin family: using active-site structure and sequence information for global classification and residue analysis.

Authors:  Kimberly J Nelson; Stacy T Knutson; Laura Soito; Chananat Klomsiri; Leslie B Poole; Jacquelyn S Fetrow
Journal:  Proteins       Date:  2010-12-22

8.  Enhanced performance in prediction of protein active sites with THEMATICS and support vector machines.

Authors:  Wenxu Tong; Ronald J Williams; Ying Wei; Leonel F Murga; Jaeju Ko; Mary Jo Ondrechen
Journal:  Protein Sci       Date:  2007-12-20       Impact factor: 6.725

9.  Identification of protein functions using a machine-learning approach based on sequence-derived properties.

Authors:  Bum Ju Lee; Moon Sun Shin; Young Joon Oh; Hae Seok Oh; Keun Ho Ryu
Journal:  Proteome Sci       Date:  2009-08-09       Impact factor: 2.480

10.  A statistical model of protein sequence similarity and function similarity reveals overly-specific function predictions.

Authors:  Brenton Louie; Roger Higdon; Eugene Kolker
Journal:  PLoS One       Date:  2009-10-21       Impact factor: 3.240
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