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Bioinformatics
Article . 2000 . Peer-reviewed
Data sources: Crossref
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Bioinformatics
Article
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Bioinformatics
Article . 2000
DBLP
Article . 2023
Data sources: DBLP
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ProtEST: protein multiple sequence alignments from expressed sequence tags

Authors: James A. Cuff; Ewan Birney; Michele E. Clamp; Geoffrey J. Barton;

ProtEST: protein multiple sequence alignments from expressed sequence tags

Abstract

Abstract Motivation: An automatic sequence searching method (ProtEST) is described which constructs multiple protein sequence alignments from protein sequences and translated expressed sequence tags (ESTs). ProtEST is more effective than a simple TBLASTN search of the query against the EST database, as the sequences are automatically clustered, assembled, made non-redundant, checked for sequence errors, translated into protein and then aligned and displayed. Results: A ProtEST search found a non-redundant, translated, error- and length-corrected EST sequence for &58% of sequences when single sequences from 1407 Pfam-A seed alignments were used as the probe. The average family size of the resulting alignments of translated EST sequences contained &10 sequences. In a cross-validated test of protein secondary structure prediction, alignments from the new procedure led to an improvement of 3.4% average Q3 prediction accuracy over single sequences. Availability: The ProtEST method is available as an Internet World Wide Web service at http://barton.ebi.ac.uk/servers/protest.htmlThe Wise2 package for protein and genomic comparisons and the ProtESTWise script can be found at: http://www.sanger.ac.uk/Software/Wise2 Contact: geoff@ebi.ac.uk

Country
United Kingdom
Keywords

Expressed Sequence Tags, Protein Biosynthesis, Molecular Sequence Data, Proteins, Amino Acid Sequence, Sequence Alignment, 004

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Top 10%
gold