ABioTrans: A Biostatistical Tool for Transcriptomics Analysis

ABioTrans: A Biostatistical Tool for Transcriptomics Analysis

Frontiers in Genetics

10.3389/fgene.2019.00499

gold

https://www.frontiersin.org/articles/10.3389/fgene.2019.00499/full#:~:text=Supplementary%20Table%20S1).-,Summary,listed%20in%20this%20technology%20report.

Yutong Zou, Thuy Tien Bui, Kumar Selvarajoo

transcriptomics, Correlation, Entropy, noise, DEG (differentially expressed genes), RNA-seq, clustering, gene expression data

01 May 2019

Zou Y, Bui TT and Selvarajoo K (2019) ABioTrans: A Biostatistical Tool for Transcriptomics Analysis. Front. Genet. 10:499. doi: 10.3389/fgene.2019.00499

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.

http://creativecommons.org/licenses/by-nc-nd/4.0/

The research is supported by Biotrans, A*STAR. H17/01/a0/006

Open access journal (Frontiers in genetics): https://www.frontiersin.org/articles/10.3389/fgene.2019.00499/full#:~:text=Supplementary%20Table%20S1).-,Summary,listed%20in%20this%20technology%20report.

https://astaroar.ripplewerkz.co/communities-collections/articles/16489

Singapore Institute of Food and Biotechnology Innovation