Please use this identifier to cite or link to this item: https://doi.org/10.3389/fgene.2019.00499
Title: Abiotrans: A biostatistical tool for transcriptomics analysis
Authors: Zou, Y. 
Bui, T.T.
Selvarajoo, K.
Keywords: Clustering
Correlation
DEG (differentially expressed genes)
Entropy
Gene expression data
Noise
RNA-seq
Transcriptomics
Issue Date: 2019
Publisher: Frontiers Media S.A.
Citation: Zou, Y., Bui, T.T., Selvarajoo, K. (2019). Abiotrans: A biostatistical tool for transcriptomics analysis. Frontiers in Genetics 10 (MAY) : 499. ScholarBank@NUS Repository. https://doi.org/10.3389/fgene.2019.00499
Rights: Attribution 4.0 International
Abstract: Here we report a bio-statistical/informatics tool, ABioTrans, developed in R for gene expression analysis. The tool allows the user to directly read RNA-Seq data files deposited in the Gene Expression Omnibus or GEO database. Operated using any web browser application, ABioTrans provides easy options for multiple statistical distribution fitting, Pearson and Spearman rank correlations, PCA, k-means and hierarchical clustering, differential expression (DE) analysis, Shannon entropy and noise (square of coefficient of variation) analyses, as well as Gene ontology classifications. © 2019 Zou, Bui and Selvarajoo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Source Title: Frontiers in Genetics
URI: https://scholarbank.nus.edu.sg/handle/10635/213734
ISSN: 16648021
DOI: 10.3389/fgene.2019.00499
Rights: Attribution 4.0 International
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