Abstract
Motivation: Small RNA sequencing and degradome sequencing (also known as parallel analysis of RNA ends) have provided rich information on the microRNA (miRNA) and its cleaved mRNA targets on a genome-wide scale in plants, but no computational tools have been developed to effectively and conveniently deconvolute the miRNA-target interaction (MTI). Results: A freely available package, MTide, was developed by combining modified miRDeep2 and CleaveLand4 with some other useful scripts to explore MTI in a comprehensive way. By searching for targets of a complete miRNAs, we can facilitate large-scale identification of miRNA targets, allowing us to discover regulatory interaction networks.
Original language | English (US) |
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Pages (from-to) | 290-291 |
Number of pages | 2 |
Journal | Bioinformatics |
Volume | 31 |
Issue number | 2 |
DOIs | |
State | Published - Jan 15 2015 |
Externally published | Yes |
ASJC Scopus subject areas
- Computational Mathematics
- Molecular Biology
- Biochemistry
- Statistics and Probability
- Computer Science Applications
- Computational Theory and Mathematics