Abstract
Summary: Transcriptome sequencing represents a fundamental source of information for genome-wide studies and transcriptome analysis and will become increasingly important for expression analysis as new sequencing technologies takes over array technology. The identification of the protein-coding region in transcript sequences is a prerequisite for systematic amino acid-level analysis and more specifically for domain identification. In this article, we present FrameDP, a self-training integrative pipeline for predicting CDS in transcripts which can adapt itself to different levels of sequence qualities. © 2009 The Author(s).
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CITATION STYLE
Gouzy, J., Carrere, S., & Schiex, T. (2009). FrameDP: Sensitive peptide detection on noisy matured sequences. Bioinformatics, 25(5), 670–671. https://doi.org/10.1093/bioinformatics/btp024
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