Department of Computer Science and Institute for Genomics and Bioinformatics.
Department of Developmental and Cell Biology.
Bioinformatics. 2017 Jul 1;33(13):2029-2031. doi: 10.1093/bioinformatics/btx087.
RNA plays a critical role in gene expression and its regulation. RNA binding proteins (RBPs), in turn, are important regulators of RNA. Thanks to the availability of large scale data for RBP binding motifs and in vivo binding sites results in the form of eCLIP experiments, it is now possible to computationally predict RBP binding sites across the whole genome.
We describe MotifMap-RNA, an extension of MotifMap which predicts binding sites for RBP motifs across human and mouse genomes and allows large scale querying of predicted binding sites.
The data and corresponding web server are available from: http://motifmap-rna.ics.uci.edu/ as part of the MotifMap web portal.
rspitale@uci.edu or pfbaldi@uci.edu.
Supplementary data are available at Bioinformatics online.
RNA 在基因表达及其调控中起着关键作用。反过来,RNA 结合蛋白(RBPs)也是 RNA 的重要调节剂。由于大规模的 RBP 结合基序数据和以 eCLIP 实验形式获得的体内结合位点,现在可以在整个基因组范围内计算预测 RBP 结合位点。
我们描述了 MotifMap-RNA,它是 MotifMap 的扩展,可预测人类和小鼠基因组中 RBP 基序的结合位点,并允许大规模查询预测的结合位点。
数据和相应的网络服务器可从以下网址获得:http://motifmap-rna.ics.uci.edu/,作为 MotifMap 网络门户的一部分。
rspitale@uci.edu 或 pfbaldi@uci.edu。
补充数据可在《生物信息学》在线获得。