Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

ExpressWeb: A Web application for clustering and visualization of expression data

Bruno Savelli, Sylvain Picard, View ORCID ProfileChristophe Roux, View ORCID ProfileChristophe Dunand
doi: https://doi.org/10.1101/625939
Bruno Savelli
1Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326 Castanet-Tolosan, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: dunand@lrsv.ups-tlse.fr savelli@lrsv.ups-tlse.fr
Sylvain Picard
1Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326 Castanet-Tolosan, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christophe Roux
1Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326 Castanet-Tolosan, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christophe Roux
Christophe Dunand
1Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326 Castanet-Tolosan, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christophe Dunand
  • For correspondence: dunand@lrsv.ups-tlse.fr savelli@lrsv.ups-tlse.fr
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

The recent explosion of transcriptomics and proteomic data have resulted in vast amounts of datasets without connection and sometime too large to be easily analysed. Integration between datasets and analysis of an extracted datasets are limiting factors which need to be solved in order to make full use of the data and to connect data.

ExpressWeb is an online web tool that combines a Taylor clustering of expressed data sets to extract gene network with gene annotations to visualise the co-expression network. Data sets can become from personal or publically experiments. ExpressWeb allows to easily compute clustering on expression data and provides friendly and useful visualisation tools as heatmaps, graphs and networks, generating output images which can be used for scientific publications.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted May 02, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
ExpressWeb: A Web application for clustering and visualization of expression data
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
ExpressWeb: A Web application for clustering and visualization of expression data
Bruno Savelli, Sylvain Picard, Christophe Roux, Christophe Dunand
bioRxiv 625939; doi: https://doi.org/10.1101/625939
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
ExpressWeb: A Web application for clustering and visualization of expression data
Bruno Savelli, Sylvain Picard, Christophe Roux, Christophe Dunand
bioRxiv 625939; doi: https://doi.org/10.1101/625939

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3686)
  • Biochemistry (7767)
  • Bioengineering (5666)
  • Bioinformatics (21237)
  • Biophysics (10553)
  • Cancer Biology (8159)
  • Cell Biology (11905)
  • Clinical Trials (138)
  • Developmental Biology (6737)
  • Ecology (10388)
  • Epidemiology (2065)
  • Evolutionary Biology (13838)
  • Genetics (9694)
  • Genomics (13054)
  • Immunology (8121)
  • Microbiology (19936)
  • Molecular Biology (7825)
  • Neuroscience (42959)
  • Paleontology (318)
  • Pathology (1276)
  • Pharmacology and Toxicology (2256)
  • Physiology (3350)
  • Plant Biology (7207)
  • Scientific Communication and Education (1309)
  • Synthetic Biology (1998)
  • Systems Biology (5528)
  • Zoology (1126)