FunNet: an integrative tool for exploring transcriptional interactions. Export

@article{citeulike:3328292, abstract = {SUMMARY: We describe here an exploratory tool, called FunNet, which implements an original systems biology approach, aiming to improve the biological relevance of the modular interaction patterns identified in transcriptional co-expression networks. A suitable analytical model, involving two abstraction layers, has been devised to relate expression profiles to the knowledge on transcripts' biological roles, extracted from genomic databases, into a comprehensive exploratory framework. This approach has been implemented into a user-friendly web tool to promote its open use by the community. AVAILABILITY: http://www.funnet.info CONTACT: edi.prifti@crc.jussieu.fr.}, address = {INSERM, UMR-S 872, Les Cordeliers, Eq. 7 Nutriomique, Paris, F-75006 France; Pierre et Marie Curie-Paris 6 Univer-sity, Cordeliers Research Center, UMR-S 872, Paris, F-75006 France; Assistance Publique-H\^{o}pitaux de Paris, Piti\'{e} Salp\^{o}tri\`{e}re Hospital, Nutrition and Endocrinology department, Paris, F-75013 France; IRD UR G\'{e}odes, Centre IRD de l'Ile de France, Bondy, F-93143 France.}, author = {Prifti, Edi and Zucker, Jean-Daniel D. and Clement, Karine and Henegar, Corneliu}, citeulike-article-id = {3328292}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/18799481}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=18799481}, day = {17}, issn = {1460-2059}, journal = {Bioinformatics (Oxford, England)}, month = {September}, posted-at = {2009-01-09 22:28:29}, priority = {1}, title = {FunNet: an integrative tool for exploring transcriptional interactions.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/18799481}, year = {2008} }

TY - JOUR ID - citeulike:3328292 L3 - citeulike-article-id:3328292 N2 - SUMMARY: We describe here an exploratory tool, called FunNet, which implements an original systems biology approach, aiming to improve the biological relevance of the modular interaction patterns identified in transcriptional co-expression networks. A suitable analytical model, involving two abstraction layers, has been devised to relate expression profiles to the knowledge on transcripts' biological roles, extracted from genomic databases, into a comprehensive exploratory framework. This approach has been implemented into a user-friendly web tool to promote its open use by the community. AVAILABILITY: http://www.funnet.info CONTACT: edi.prifti@crc.jussieu.fr. JF - Bioinformatics (Oxford, England) SN - 1460-2059 AD - INSERM, UMR-S 872, Les Cordeliers, Eq. 7 Nutriomique, Paris, F-75006 France; Pierre et Marie Curie-Paris 6 Univer-sity, Cordeliers Research Center, UMR-S 872, Paris, F-75006 France; Assistance Publique-Hôpitaux de Paris, Pitié Salpôtrière Hospital, Nutrition and Endocrinology department, Paris, F-75013 France; IRD UR Géodes, Centre IRD de l'Ile de France, Bondy, F-93143 France. TI - FunNet: an integrative tool for exploring transcriptional interactions. AU - Prifti, Edi AU - Zucker, Jean-Daniel AU - Clement, Karine AU - Henegar, Corneliu PY - 2008/09/17/ UR - http://view.ncbi.nlm.nih.gov/pubmed/18799481 ER -