Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jamie I. MacPherson"'
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e62670 (2013)
Large-scale molecular interaction data sets have the potential to provide a comprehensive, system-wide understanding of biological function. Although individual molecules can be promiscuous in terms of their contribution to function, molecular functi
Externí odkaz:
https://doaj.org/article/7720d5fa451f47b68fd9e7e753877bf3
Autor:
Jamie I MacPherson, Ben Sidders, Stefan Wieland, Jin Zhong, Paul Targett-Adams, Volker Lohmann, Perdita Backes, Oona Delpuech-Adams, Francis Chisari, Marilyn Lewis, Tanya Parkinson, David L Robertson
Publikováno v:
PLoS ONE, Vol 6, Iss 10, p e25584 (2011)
Hepatitis C virus (HCV) is a global problem. To better understand HCV infection researchers employ in vitro HCV cell-culture (HCVcc) systems that use Huh-7 derived hepatoma cells that are particularly permissive to HCV infection. A variety of hyper-p
Externí odkaz:
https://doaj.org/article/edf278f29c554c29a9a20b69865ee1a6
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 7, p e1000863 (2010)
Human immunodeficiency virus type 1 (HIV-1) exploits a diverse array of host cell functions in order to replicate. This is mediated through a network of virus-host interactions. A variety of recent studies have catalogued this information. In particu
Externí odkaz:
https://doaj.org/article/e94f1b31feed40ee9b955af42956d226
Autor:
Stefan Wieland, Volker Lohmann, Jamie I. MacPherson, Francis V. Chisari, Oona Delpuech-Adams, Marilyn Lewis, Ben Sidders, David Robertson, Tanya Parkinson, Paul Targett-Adams, Perdita Backes, Jin Zhong
Publikováno v:
PLoS ONE, Vol 6, Iss 10, p e25584 (2011)
PLoS ONE
PLoS ONE
Hepatitis C virus (HCV) is a global problem. To better understand HCV infection researchers employ in vitro HCV cell-culture (HCVcc) systems that use Huh-7 derived hepatoma cells that are particularly permissive to HCV infection. A variety of hyper-p
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 10, Iss 1, p 95 (2009)
BMC Bioinformatics, Vol 10, Iss 1, p 95 (2009)
Background A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba5d24138e0c5d42460752819c442576
https://eprints.gla.ac.uk/152154/1/152154.pdf
https://eprints.gla.ac.uk/152154/1/152154.pdf