期刊
BIOINFORMATICS
卷 26, 期 21, 页码 2656-2663出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btq516
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资金
- Spanish Ministerio de Educacion y Ciencia [BIO2006-03380]
- National Institutes of Health/National Human Genome Research Institute [1U54HG004555]
Results: We present an homology-based in silico method to scan genomes for members of the known eukaryotic selenoprotein families: selenoprofiles. The core of the method is a set of manually curated highly reliable multiple sequence alignments of selenoprotein families, which are used as queries to scan genomic sequences. Results of the scan are processed through a number of steps, to produce highly accurate predictions of selenoprotein genes with little or no human intervention. Selenoprofiles is a valuable tool for bioinformatic characterization of eukaryotic selenoproteomes, and can complement genome annotation pipelines.
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