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

Xavier Bofill-De Ros, Kevin Chen, Susanna Chen, Nikola Tesic, Dusan Randjelovic, Nikola Skundric, Svetozar Nesic, Vojislav Varjacic, Elizabeth H. Williams, Raunaq Malhotra, Minjie Jiang, Shuo Gu*

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

19 Citationer (Scopus)

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.

OriginalsprogEngelsk
TidsskriftBioinformatics
Vol/bind35
Nummer9
Sider (fra-til)1576-1578
Antal sider3
ISSN1367-4803
DOI
StatusUdgivet - 1 maj 2019
Udgivet eksterntJa

Fingeraftryk

Dyk ned i forskningsemnerne om 'QuagmiR: A cloud-based application for isomiR big data analytics'. Sammen danner de et unikt fingeraftryk.

Citationsformater