TarPmiR: a new approach for microRNA target site prediction.

ABSTRACT:

Motivation

The identification of microRNA (miRNA) target sites is fundamentally important for studying gene regulation. There are dozens of computational methods available for miRNA target site prediction. Despite their existence, we still cannot reliably identify miRNA target sites, partially due to our limited understanding of the characteristics of miRNA target sites. The recently published CLASH (crosslinking ligation and sequencing of hybrids) data provide an unprecedented opportunity to study the characteristics of miRNA target sites and improve miRNA target site prediction methods.

Results

Applying four different machine learning approaches to the CLASH data, we identified seven new features of miRNA target sites. Combining these new features with those commonly used

SUBMITTER: Ding J 

PROVIDER: S-EPMC5018371 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature