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原文連結
論文資訊
- 類型：已發表論文
- 日期：2011
摘要
Motivation: Long non-coding RNAs (lncRNAs) resemble 蛋白質-coding mRNAs but do not encode 蛋白質s. Most lncRNAs are under lower sequence constraints than 蛋白質-coding genes and lack conserved secondary structures, making it hard to predict them 計算ly. Results: We introduce an approach to predict spliced lncRNAs in vertebrate 基因組s combining comparative genomics and 機器學習. It is based on detecting signatures of characteristic splice site 演化 in vertebrate whole 基因組 alignments. First, we predict individual splice sites, then assemble compatible sites into exon candidates, and finally predict multi-exon transcripts. Using a novel method to evaluate typical splice site substitution patterns that explicitly takes the 物種 phylogeny into account, we show that individual splice sites can be accurately predicte
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