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Vojislav Varjacic

dblp:241/2155 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › RNA sequence analysis
microRNA analysis
0.412019
QuagmiR: a cloud-based application for isomiR big data analytics · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

flexible sequence searching algorithm · 0.8
YearPublicationVenuePosition
2019 QuagmiR: a cloud-based application for isomiR big data analytics
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. 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.
Xavier Bofill-De Ros, Kevin Chen 0004, Susanna Chen, Nikola Tesic, Dusan Randjelovic, Nikola Skundric, Svetozar Nesic, Vojislav Varjacic, Elizabeth H. Williams, Raunaq Malhotra, Minjie Jiang, Shuo Gu
Bioinform.8