microRNAs早就不再是科研热点,但毕竟还是遗留下来了不少数据,而且好歹是TCGA计划的多组学中的一环。在自己的研究增加miRNA的角度也是极好的, 通常大家有4个需求:
被7个工具
预测到的MiRNA–mRNA相互作用关系作为最后的结果。文献标题是:FABP4 as a key determinant of metastatic potential of ovarian cancer,网页工具描述如下:miRWalk2.0 not only documents miRNA binding sites within the complete sequence of a gene, but also combines this information with a comparison of binding sites resulting from 12 existing miRNA-target prediction programs (DIANA-microTv4.0, DIANA-microT-CDS, miRanda-rel2010, mirBridge, miRDB4.0, miRmap, miRNAMap, doRiNA i.e.,PicTar2, PITA, RNA22v2, RNAhybrid2.1 andTargetscan6.2) to build novel comparative platforms of binding sites for the promoter (4 prediction datasets), cds (5 prediction datasets), 5’- (5 prediction datasets) and 3’-UTR (13 prediction datasets) regions. It also documents experimentally verified miRNA-target interaction information collected via an automated text-mining search and data from existing resources (miRTarBase, PhenomiR,miR2Disease and HMDD) offer such information.
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