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H. influenzae Consortium: Integrative Study of H. influenzae-Human Interactions

dc.contributor.authorKolker, Eugeneen_US
dc.contributor.authorPurvine, Samuelen_US
dc.contributor.authorPicone, Alex F.en_US
dc.contributor.authorCherny, Timen_US
dc.contributor.authorAkerley, Brian J.en_US
dc.contributor.authorMunson, Robert S.en_US
dc.contributor.authorPalsson, Bernhard Ø.en_US
dc.contributor.authorDaines, Dayle A.en_US
dc.contributor.authorSmith, Arnold L.en_US
dc.date.accessioned2009-07-10T19:15:34Z
dc.date.available2009-07-10T19:15:34Z
dc.date.issued2002-10-01en_US
dc.identifier.citationKolker, Eugene; Purvine, Samuel; Picone, Alex; Cherny, Tim; Akerley, Brian J.; Munson, Robert S.; Palsson, Bernhard O.; Daines, Dayle A.; Smith, Arnold L. (2002). "H. influenzae Consortium: Integrative Study of H. influenzae-Human Interactions." OMICS: A Journal of Integrative Biology 6(4): 341-348 <http://hdl.handle.net/2027.42/63432>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/63432
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=12626093&dopt=citationen_US
dc.description.abstractDevelopments in high-throughput analysis tools coupled with integrative computational techniques have enabled biological studies to reach new levels. The ability to correlate large volumes of diverse data types into cohesive models of organism function has spawned a new systematic approach to biological investigation. The creation of a new consortium has been proposed to investigate a single organism utilizing these comprehensive approaches. The Haemophilus influenzae Consortium (HIC) would be comprised of five laboratories, each providing separate and complementary areas of expertise in the study of Haemophilus influenzae (HI). The 5-year study proposes to develop coherent models of HI, both as a stand-alone organism, and more importantly, as a human pathogen. Studies in growth condition specificity followed by genomic, metabolic, and proteomic experimentation will be combined and integrated through computational and experimental analyses to form dynamic and predictive models of HI and its responses. Data from the HIC will allow greater understanding of cellular behavior, pathogen-host interactions, bacterial infection, and provide future scientific endeavors with a template for studies of other pathogens.en_US
dc.format.extent227348 bytes
dc.format.extent2489 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherMary Ann Liebert, Inc., publishersen_US
dc.titleH. influenzae Consortium: Integrative Study of H. influenzae-Human Interactionsen_US
dc.typeArticleen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.identifier.pmid12626093en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/63432/1/153623102321112764.pdf
dc.identifier.doidoi:10.1089/153623102321112764en_US
dc.identifier.sourceOMICS: A Journal of Integrative Biologyen_US
dc.identifier.sourceOMICS: A Journal of Integrative Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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