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New GO tools for analysing nematode gene/proteins

Bernard jacq at ibdm.univ-mrs.fr
Fri Jan 21 05:59:36 EST 2005



Dear colleagues,


This short mail to inform the worm community of the availability of=20
GOToolBox, a series of programs using Gene ontology that we published=20
recently in Genome biology=20
(http://www.biomedcentral.com/content/pdf/gb-2004-5-12-r101.pdf).

GOToolBox can be useful to analyse groups of genes derived from=20
microarrays,Chromatin-Immunoprecipitations, from the analysis of=20
protein-protein (two-hybrid), protein_DNA and/or genetic networks, ....

The programs from GOToolBox are directly accessible through a Web site=20=

described in the article.

GOToolBox performs five main tasks:

- gene dataset creation,
- selection and fitting of GO terms at a given ontology level (GO-Diet),
- statistical analysis of GO terms associated with gene sets (GO-Stats)=20=

in order to find over- or under-represented terms,
- GO-based gene clustering (GO-Proxy) allowing to find sub-groups of=20
functionnally related genes within a gene set,
- gene retrieval based on GO annotation similarity (GO-Family) in one=20
or several species.

Other developments are presently on their way.

At the moment, GOToolBox supports analyses of GO terms for six species :
Yeast (Sc), Arabidopsis, Drosophila, nematode, mouse and humans.



For the authors,

David Martin and Bernard Jacq

Bernard Jacq
LGPD-IBDM
Parc Scientifique de luminy
13288 Marseille Cedex 9

tel (33) 04 91 82 94 25
fax (33) 04 91 82 06 82


Apr=E9s les Etats g=E9n=E9raux de la Recherche
de GRENOBLE, continuez =E0 d=E9fendre la recherche=20
http://cip-etats-generaux.apinc.org/ et
http://recherche-en-danger.apinc.org/


Petition for a new and ambitious European science policy:=20
http://ultr23.vub.ac.be/petition/ ---




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