Physiol. Genomics Fuel your research with LabChart
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
QUICK SEARCH:   [advanced]


     

Physiol. Genomics (November 12, 2002). doi:10.1152/physiolgenomics.00096.2002
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
12/2/159    most recent
00096.2002v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Romualdi, C.
Right arrow Articles by Danieli, G. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Romualdi, C.
Right arrow Articles by Danieli, G. A.

Articles in PresS, published online ahead of print November 12, 2002
Physiol Genomics, 10.1152/physiolgenomics.00096.2002
Submitted on July 31, 2002
Accepted on November 6, 2002

IDEG6: A WEB TOOL FOR THE IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES IN MULTIPLE TAG SAMPLING EXPERIMENTS

Chiara Romualdi1, Stefania Bortoluzzi2, Fabio d'Alessi2, and Gian Antonio Danieli2*

1 CRIBI Biotechnology Centre, University of Padova, Padova, Italy
2 Department of Biology, University of Padova, Padova, Italy

* To whom correspondence should be addressed. E-mail: danieli{at}bio.unipd.it.

Here we present a novel web tool for the statistical analysis of gene expression data in multiple tag sampling experiments. Differentially expressed genes are detected by using six different test statistics. Result tables, linked to the GenBank, UniGene or LocusLink database, can be browsed or searched in different ways. Software is freely available at the site: http://telethon.bio.unipd.it/bioinfo/IDEG6_form/, together with additional information on statistical methodologies.




This article has been cited by other articles:


Home page
 Clin. Cancer Res.Home page
H. Alvarez, A. Corvalan, J. C. Roa, P. Argani, F. Murillo, J. Edwards, R. Beaty, G. Feldmann, S.-M. Hong, M. Mullendore, et al.
Serial Analysis of Gene Expression Identifies Connective Tissue Growth Factor Expression as a Prognostic Biomarker in Gallbladder Cancer
Clin. Cancer Res., May 1, 2008; 14(9): 2631 - 2638.
[Abstract] [Full Text] [PDF]

Home page
 Plant Physiol.Home page
M. R. Malik, F. Wang, J. M. Dirpaul, N. Zhou, P. L. Polowick, A. M.R. Ferrie, and J. E. Krochko
Transcript Profiling and Identification of Molecular Markers for Early Microspore Embryogenesis in Brassica napus
Plant Physiology, May 1, 2007; 144(1): 134 - 154.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
J. M. Cummins, Y. He, R. J. Leary, R. Pagliarini, L. A. Diaz Jr., T. Sjoblom, O. Barad, Z. Bentwich, A. E. Szafranska, E. Labourier, et al.
The colorectal microRNAome
PNAS, March 7, 2006; 103(10): 3687 - 3692.
[Abstract] [Full Text] [PDF]

Home page
 Physiol. GenomicsHome page
M. Liang and B. Ventura
Physiological genomics in PG and beyond: October to December 2005
Physiol Genomics, December 14, 2005; 24(1): 1 - 3.
[Full Text] [PDF]

Home page
 GeneticsHome page
R. J. Wisser, Q. Sun, S. H. Hulbert, S. Kresovich, and R. J. Nelson
Identification and Characterization of Regions of the Rice Genome Associated With Broad-Spectrum, Quantitative Disease Resistance
Genetics, April 1, 2005; 169(4): 2277 - 2293.
[Abstract] [Full Text] [PDF]

Home page
 Physiol. GenomicsHome page
S. Bortoluzzi, C. Romualdi, A. Bisognin, and G. A. Danieli
Disease genes and intracellular protein networks
Physiol Genomics, November 11, 2003; 15(3): 223 - 227.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Visit Other APS Journals Online
Copyright © 2002 by the American Physiological Society.