Microarrays Research - Experiments, Designs, Statistics, Analysis, Software

Microarrays Research Today is a free monthly online journal that collates and summarizes the latest research about Microarrays, including details on experiments, designs, statistics, analysis, software.


Microarrays Research Today

Home

View Latest Issue

Information About Microarrays

Books on Microarrays

Advertising in Research Today

View Other Research Today Publications



Next station in microarray data analysis: GEPAS.

Montaner D, Tárraga J, Huerta-Cepas J, Burguet J, Vaquerizas JM, Conde L, Minguez P, Vera J, Mukherjee S, Valls J, Pujana MA, Alloza E, Herrero J, Al-Shahrour F, Dopazo J

Bioinformatics Department, Centro de Investigación Príncipe Felipe, Autopista del Saler 16, E46013, Valencia, Spain.

The Gene Expression Profile Analysis Suite (GEPAS) has been running for more than four years. During this time it has evolved to keep pace with the new interests and trends in the still changing world of microarray data analysis. GEPAS has been designed to provide an intuitive although powerful web-based interface that offers diverse analysis options from the early step of preprocessing (normalization of Affymetrix and two-colour microarray experiments and other preprocessing options), to the final step of the functional annotation of the experiment (using Gene Ontology, pathways, PubMed abstracts etc.), and include different possibilities for clustering, gene selection, class prediction and array-comparative genomic hybridization management. GEPAS is extensively used by researchers of many countries and its records indicate an average usage rate of 400 experiments per day. The web-based pipeline for microarray gene expression data, GEPAS, is available at http://www.gepas.org.

Published 17 July 2006 in Nucleic Acids Res, 34: W486-91.
Full-text of this article is available online (may require subscription).

Place a permanent text-link or advertisement here for just US$15.

© 2004-2008 Microarrays Research Today. All Rights Reserved.



Microarrays Research Today Archive:

Volume 1 (2004)
  Issue 1 (June)
  Issue 2 (July)
  Issue 3 (August)
  Issue 4 (September)
  Issue 5 (October)
  Issue 6 (November)
  Issue 7 (December)

Volume 2 (2005)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 3 (2006)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 4 (2007)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 5 (2008)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)



Microarrays Books

Methods of Microarray Data Analysis V

Methods of Microarray Data Analysis V