H. influenzae Consortium: Integrative Study of H. influenzae-Human Interactions
dc.contributor.author | Kolker, Eugene | en_US |
dc.contributor.author | Purvine, Samuel | en_US |
dc.contributor.author | Picone, Alex F. | en_US |
dc.contributor.author | Cherny, Tim | en_US |
dc.contributor.author | Akerley, Brian J. | en_US |
dc.contributor.author | Munson, Robert S. | en_US |
dc.contributor.author | Palsson, Bernhard Ø. | en_US |
dc.contributor.author | Daines, Dayle A. | en_US |
dc.contributor.author | Smith, Arnold L. | en_US |
dc.date.accessioned | 2009-07-10T19:15:34Z | |
dc.date.available | 2009-07-10T19:15:34Z | |
dc.date.issued | 2002-10-01 | en_US |
dc.identifier.citation | Kolker, 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.uri | https://hdl.handle.net/2027.42/63432 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=12626093&dopt=citation | en_US |
dc.description.abstract | Developments 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.extent | 227348 bytes | |
dc.format.extent | 2489 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Mary Ann Liebert, Inc., publishers | en_US |
dc.title | H. influenzae Consortium: Integrative Study of H. influenzae-Human Interactions | en_US |
dc.type | Article | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.identifier.pmid | 12626093 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/63432/1/153623102321112764.pdf | |
dc.identifier.doi | doi:10.1089/153623102321112764 | en_US |
dc.identifier.source | OMICS: A Journal of Integrative Biology | en_US |
dc.identifier.source | OMICS: A Journal of Integrative Biology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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