DEACT: An Online Tool for Analysing Complementary RNA-Seq Studies

Katherine Duchinski, Margaret Antonio, Dennis Watson, Paul Anderson

2017

Abstract

Understanding the genetic basis of disease may lead to the development of life-saving diagnostics and therapeutics. RNA-sequencing (RNA-seq) gives a snapshot of cellular processes via high-throughput transcriptome sequencing. Meta-analysis of multiple RNA-Seq experiments has the potential to (a) elucidate gene function under different conditions and (b) compare results in replicate experiments. To simplify such meta-analyses, we created the Dataset Exploration And Curation Tool (DEACT), an interactive, user-friendly web application. DEACT allows users to (1) interactively visualize RNA-Seq data, (2) select genes of interest through the user interface, and (3) download subsets for downstream analyses. We tested DEACT using two complementary RNA-seq studies resulting from knockdown and gain-of-function FLI1 in an aggressive breast cancer cell line. We performed fixed gene-set enrichment analysis on four subsets of genes selected through DEACT. Each subset implicated different metabolic pathways, demonstrating the power of DEACT in driving downstream analysis of complementary RNA-Seq studies.

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Paper Citation


in Harvard Style

Duchinski K., Antonio M., Watson D. and Anderson P. (2017). DEACT: An Online Tool for Analysing Complementary RNA-Seq Studies. In - BIOINFORMATICS, (BIOSTEC 2017) ISBN , pages 0-0. DOI: 10.5220/0006152900001488


in Bibtex Style

@conference{bioinformatics17,
author={Katherine Duchinski and Margaret Antonio and Dennis Watson and Paul Anderson},
title={DEACT: An Online Tool for Analysing Complementary RNA-Seq Studies},
booktitle={ - BIOINFORMATICS, (BIOSTEC 2017)},
year={2017},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006152900001488},
isbn={},
}


in EndNote Style

TY - CONF

JO - - BIOINFORMATICS, (BIOSTEC 2017)
TI - DEACT: An Online Tool for Analysing Complementary RNA-Seq Studies
SN -
AU - Duchinski K.
AU - Antonio M.
AU - Watson D.
AU - Anderson P.
PY - 2017
SP - 0
EP - 0
DO - 10.5220/0006152900001488