Computational methods for the ab initio identification of novel microRNA in plants: a systematic review.

ABSTRACT:

Background

MicroRNAs (miRNAs) play a vital role as post-transcriptional regulators in gene expression. Experimental determination of miRNA sequence and structure is both expensive and time consuming. The next-generation sequencing revolution, which facilitated the rapid accumulation of biological data has brought biology into the "big data" domain. As such, developing computational methods to predict miRNAs has become an active area of inter-disciplinary research.

Objective

The objective of this systematic review is to focus on the developments of ab initio plant miRNA identification methods over the last decade.

Data sources

Five databases were searched for relevant articles, according to a well-defined review protocol.

Study selection

The search results were

SUBMITTER: Manuweera B 

PROVIDER: S-EPMC7924660 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature