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

  1. Author:
    Bofill De Ros,Xavier
    Chen, Kevin
    Chen, Susanna
    Tesic, Nikola
    Randjelovic, Dusan
    Skundric, Nikola
    Nesic, Svetozar
    Varjacic, Vojislav
    Williams, Elizabeth H.
    Malhotra, Raunaq
    Jiang, Minjie
    Gu,Shuo
  2. Author Address

    NCI, RNA Mediated Gene Regulat Sect, RNA Biol Lab, Ctr Canc Res, Frederick, MD 21701 USA.Seven Bridges Genom Inc, Cambridge, MA USA.
    1. Year: 2019
    2. Date: MAY 1
  1. Journal: BIOINFORMATICS
  2. OXFORD UNIV PRESS,
    1. 35
    2. 9
    3. Pages: 1576-1578
  3. Type of Article: Article
  4. ISSN: 1367-4803
  1. Abstract:

    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. 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). Supplementary information: Supplementary data are available at Bioinformatics online.

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External Sources

  1. DOI: 10.1093/bioinformatics/bty843
  2. WOS: 000469491000019

Library Notes

  1. Fiscal Year: FY2018-2019
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