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QuagmiR: a cloud-based application for isomiR big data analytics.

Authors :
Bofill-De Ros X
Chen K
Chen S
Tesic N
Randjelovic D
Skundric N
Nesic S
Varjacic V
Williams EH
Malhotra R
Jiang M
Gu S
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2019 May 01; Vol. 35 (9), pp. 1576-1578.
Publication Year :
2019

Abstract

Summary: MicroRNAs (miRNAs) function as master regulators of gene expression. Recent studies demonstrate that miRNA isoforms (isomiRs) play a unique role in cancer development. Here, we present QuagmiR, the first cloud-based tool to analyze isomiRs from next generation sequencing data. Using a novel and flexible searching algorithm designed for the detection and annotation of heterogeneous isomiRs, it permits extensive customization of the query process and reference databases to meet the user 's diverse research needs.<br />Availability and Implementation: QuagmiR is written in Python and can be obtained freely from GitHub (https://github.com/Gu-Lab-RBL-NCI/QuagmiR). QuagmiR can be run from the command line on local machines, as well as on high-performance servers. A web-accessible version of the tool has also been made available for use by academic researchers through the National Cancer Institute-funded Seven Bridges Cancer Genomics Cloud (https://cancergenomicscloud.org).<br />Supplementary Information: Supplementary data are available at Bioinformatics online.<br /> (Published by Oxford University Press 2018. This work is written by US Government employees and is in the public domain in the US.)

Details

Language :
English
ISSN :
1367-4811
Volume :
35
Issue :
9
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
30295744
Full Text :
https://doi.org/10.1093/bioinformatics/bty843