Open AccessBioVLAB-MMIA-NGS: microRNA–mRNA integrated analysis using high-throughput sequencing data
Author(s) -
Heejoon Chae,
Sung-Min Rhee,
Kenneth P. Nephew,
Sun Kim
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu614
Subject(s) - microrna , computational biology , dna sequencing , biology , cloud computing , computer science , gene , genetics , operating system
It is now well established that microRNAs (miRNAs) play a critical role in regulating gene expression in a sequence-specific manner, and genome-wide efforts are underway to predict known and novel miRNA targets. However, the integrated miRNA-mRNA analysis remains a major computational challenge, requiring powerful informatics systems and bioinformatics expertise.
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