COMIT: identification of noncoding motifs under selection in coding sequences

被引:8
|
作者
Kural, Deniz [1 ]
Ding, Yang [1 ]
Wu, Jiantao [1 ]
Korpi, Alicia M. [1 ]
Chuang, Jeffrey H. [1 ]
机构
[1] Boston Coll, Dept Biol, Chestnut Hill, MA 02467 USA
来源
GENOME BIOLOGY | 2009年 / 10卷 / 11期
基金
美国国家科学基金会;
关键词
SPLICING REGULATORY ELEMENTS; SYNONYMOUS CODON USAGE; MAXIMUM-LIKELIHOOD; SUBSTITUTION RATES; MESSENGER-RNAS; BINDING-SITES; YEAST; REGIONS; MAMMALS; GENES;
D O I
10.1186/gb-2009-10-11-r133
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Coding nucleotide sequences contain myriad functions independent of their encoded protein sequences. We present the COMIT algorithm to detect functional noncoding motifs in coding regions using sequence conservation, explicitly separating nucleotide from amino acid effects. COMIT concurs with diverse experimental datasets, including splicing enhancers, silencers, replication motifs, and microRNA targets, and predicts many novel functional motifs. Intriguingly, COMIT scores are well-correlated to scores uncalibrated for amino acids, suggesting that nucleotide motifs often override peptide-level constraints.
引用
收藏
页数:13
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