ArticleDatabase : the journal of biological databases and curation2013
MisPred: a resource for identification of erroneous protein sequences in public databases.
Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking Approach.Journal of fungi (Basel, Switzerland) · 2023Article
- Detecting and correcting misclassified sequences in the large-scale public databases.Bioinformatics (Oxford, England) · 2020Article
- CRISPR sequences are sometimes erroneously translated and can contaminate public databases with spurious proteins containing spaced repeats.Database : the journal of biological databases and curation · 2020Article
- MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization.Briefings in bioinformatics · 2019Article
- Article
- Improved strategy for the curation and classification of kinases, with broad applicability to other eukaryotic protein groups.Scientific reports · 2018Article
- Putative extremely high rate of proteome innovation in lancelets might be explained by high rate of gene prediction errors.Scientific reports · 2016Article
- A simple method to control over-alignment in the MAFFT multiple sequence alignment program.Bioinformatics (Oxford, England) · 2016Article
- Experimental detection of short regulatory motifs in eukaryotic proteins: tips for good practice as well as for bad.Cell communication and signaling : CCS · 2015Review
- Assessment and refinement of eukaryotic gene structure prediction with gene-structure-aware multiple protein sequence alignment.BMC bioinformatics · 2014Article
- FixPred: a resource for correction of erroneous protein sequences.Database : the journal of biological databases and curation · 2014Article
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2 authors.
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Abstract
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.
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