SpidermiR: An R/Bioconductor Package for Integrative Analysis with miRNA Data

Document Type

Article

Publication Date

1-27-2017

Publication Title

Int J Mol Sci

Abstract

Gene Regulatory Networks (GRNs) control many biological systems, but how such network coordination is shaped is still unknown. GRNs can be subdivided into basic connections that describe how the network members interact e.g., co-expression, physical interaction, co-localization, genetic influence, pathways, and shared protein domains. The important regulatory mechanisms of these networks involve miRNAs. We developed an R/Bioconductor package, namely SpidermiR, which offers an easy access to both GRNs and miRNAs to the end user, and integrates this information with differentially expressed genes obtained from The Cancer Genome Atlas. Specifically, SpidermiR allows the users to: (i) query and download GRNs and miRNAs from validated and predicted repositories; (ii) integrate miRNAs with GRNs in order to obtain miRNA-gene-gene and miRNA-protein-protein interactions, and to analyze miRNA GRNs in order to identify miRNA-gene communities; and (iii) graphically visualize the results of the analyses. These analyses can be performed through a single interface and without the need for any downloads. The full data sets are then rapidly integrated and processed locally.

Comments

© authors, Creative Commons Attribution License 4.0

Medical Subject Headings

Breast Neoplasms; Female; Humans; Male; MicroRNAs; Neoplasm Proteins; Prostatic Neoplasms; Protein Binding; Software; Statistics as Topic

PubMed ID

28134831

Volume

18

Issue

2

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