MisPred: a resource for identification of erroneous protein sequences in public databases

Correct prediction of the structure of protein-coding genes of higher eukaryotes is still a difficult task; therefore, public databases are heavily contaminated with mispredicted sequences. The high rate of misprediction has serious consequences because it significantly affects the conclusions that...

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Bibliographic Details
Published in:Database : the journal of biological databases and curation 2013, Vol.2013, p.bat053-bat053
Main Authors: Nagy, Alinda, Patthy, László
Format: Article
Language:English
Subjects:
Amino Acid Sequence
Animals
Database Tool
Databases, Protein
Internet
Molecular Sequence Annotation
Molecular Sequence Data
Proteins - chemistry
Sequence Analysis, Protein
User-Computer Interface
Xenopus
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Summary:Correct prediction of the structure of protein-coding genes of higher eukaryotes is still a difficult task; therefore, public databases are heavily contaminated with mispredicted sequences. The high rate of misprediction has serious consequences because it significantly affects the conclusions that may be drawn from genome-scale sequence analyses of eukaryotic genomes. Here we present the MisPred database and computational pipeline that provide efficient means for the identification of erroneous sequences in public databases. The MisPred database contains a collection of abnormal, incomplete and mispredicted protein sequences from 19 metazoan species identified as erroneous by MisPred quality control tools in the UniProtKB/Swiss-Prot, UniProtKB/TrEMBL, NCBI/RefSeq and EnsEMBL databases. Major releases of the database are automatically generated and updated regularly. The database (http://www.mispred.com) is easily accessible through a simple web interface coupled to a powerful query engine and a standard web service. The content is completely or partially downloadable in a variety of formats. DATABASE URL: http://www.mispred.com.
ISSN:1758-0463
1758-0463
DOI:10.1093/database/bat053