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原文連結
論文資訊
- 類型：已發表論文
- 日期：2013-07-11
摘要
演化arily conserved RNA secondary structures are a robust indicator of purifying selection and, consequently, molecular function. Evaluating their 基因組-wide occurrence through comparative genomics has consistently been plagued by high false-positive rates and divergent predictions. We present a novel benchmarking pipeline aimed at calibrating the precision of 基因組-wide scans for consensus RNA structure prediction. The benchmarking data obtained from two refined structure prediction algorithms, RNAz and SISSIz, were then analyzed to fine-tune the parameters of an optimized workflow for genomic sliding window screens. When applied to consistency-based multiple 基因組 alignments of 35 mammals, our approach confidently identifies > 4 million 演化arily constrained RNA structures using a conservative sen
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