Literature DB >> 29506198

anexVis: visual analytics framework for analysis of RNA expression.

Diem-Trang Tran1,2, Tian Zhang2, Ryan Stutsman2, Matthew Might3, Umesh R Desai4, Balagurunathan Kuberan1,5.   

Abstract

Summary: Although RNA expression data are accumulating at a remarkable speed, gaining insights from them still requires laborious analyses, which hinder many biological and biomedical researchers. This report introduces a visual analytics framework that applies several well-known visualization techniques to leverage understanding of an RNA expression dataset. Our analyses on glycosaminoglycan-related genes have demonstrated the broad application of this tool, anexVis (analysis of RNA expression), to advance the understanding of tissue-specific glycosaminoglycan regulation and functions, and potentially other biological pathways. Availability and implementation: The application is accessible at https://anexvis.chpc.utah.edu/, source codes deposited on GitHub. Supplementary information: Supplementary data are available at Bioinformatics online.

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Year:  2018        PMID: 29506198      PMCID: PMC6041878          DOI: 10.1093/bioinformatics/bty122

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

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3.  Human genomics. The human transcriptome across tissues and individuals.

Authors:  Marta Melé; Pedro G Ferreira; Ferran Reverter; David S DeLuca; Jean Monlong; Michael Sammeth; Taylor R Young; Jakob M Goldmann; Dmitri D Pervouchine; Timothy J Sullivan; Rory Johnson; Ayellet V Segrè; Sarah Djebali; Anastasia Niarchou; Fred A Wright; Tuuli Lappalainen; Miquel Calvo; Gad Getz; Emmanouil T Dermitzakis; Kristin G Ardlie; Roderic Guigó
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Authors:  Bohdan B Khomtchouk; James R Hennessy; Claes Wahlestedt
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

5.  DEIVA: a web application for interactive visual analysis of differential gene expression profiles.

Authors:  Jayson Harshbarger; Anton Kratz; Piero Carninci
Journal:  BMC Genomics       Date:  2017-01-07       Impact factor: 3.969

6.  ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data.

Authors:  Vincent Gardeux; Fabrice P A David; Adrian Shajkofci; Petra C Schwalie; Bart Deplancke
Journal:  Bioinformatics       Date:  2017-10-01       Impact factor: 6.937

7.  QuickRNASeq lifts large-scale RNA-seq data analyses to the next level of automation and interactive visualization.

Authors:  Shanrong Zhao; Li Xi; Jie Quan; Hualin Xi; Ying Zhang; David von Schack; Michael Vincent; Baohong Zhang
Journal:  BMC Genomics       Date:  2016-01-08       Impact factor: 3.969

  7 in total

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