A novel miRNA analysis framework to analyze differential biological networks.

ABSTRACT: For understanding complex biological systems, a systems biology approach, involving both the top-down and bottom-up analyses, is often required. Numerous system components and their connections are best characterised as networks, which are primarily represented as graphs, with several nodes connected at multiple edges. Inefficient network visualisation is a common problem related to transcriptomic and genomic datasets. In this article, we demonstrate an miRNA analysis framework with the help of Jatropha curcas healthy and disease transcriptome datasets, functioning as a pipeline derived from the graph theory universe, and discuss how the network theory, along with gene ontology (GO) analysis, can be used to infer biological properties and other important features of a network. Network prof

SUBMITTER: Bansal A 

PROVIDER: S-EPMC5668248 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature