P-Star, P. Group, and Pharmgkb. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, (2012)
Abstract
Biological systems are quintessentially complex. Normal function requires the constant orchestration of numerous pathways on widely varying spatial and temporal scales. To understand such a complex system, data has been collected on the molecular, cellular, organ, and population scales and across various-omes such as the genome, proteome, and metabolome. Unfortunately, it is often the case that each data set is analyzed in vacuo, without regard to information on other scales or -omes. Multi-scale integration of data types to answer fundamental and practical questions in biomedicine is a significant challenge to the experimental and computational biology communities. This is a topic that is being tackled in a significant way in Systems Pharmacogenomics - which is exploring systems biology approaches for drug treatment response…
%0 Journal Article
%1 PStar2012Systems
%A P-Star,
%A Group, Pgrn Systems Biology
%A Pharmgkb,
%D 2012
%J Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
%K pharmacogenomics systems-biology
%T Systems pharmacogenomics-bridging the gap.
%U http://view.ncbi.nlm.nih.gov/pubmed/22174300
%X Biological systems are quintessentially complex. Normal function requires the constant orchestration of numerous pathways on widely varying spatial and temporal scales. To understand such a complex system, data has been collected on the molecular, cellular, organ, and population scales and across various-omes such as the genome, proteome, and metabolome. Unfortunately, it is often the case that each data set is analyzed in vacuo, without regard to information on other scales or -omes. Multi-scale integration of data types to answer fundamental and practical questions in biomedicine is a significant challenge to the experimental and computational biology communities. This is a topic that is being tackled in a significant way in Systems Pharmacogenomics - which is exploring systems biology approaches for drug treatment response…
@article{PStar2012Systems,
abstract = {
Biological systems are quintessentially complex. Normal function requires the constant orchestration of numerous pathways on widely varying spatial and temporal scales. To understand such a complex system, data has been collected on the molecular, cellular, organ, and population scales and across various-omes such as the genome, proteome, and metabolome. Unfortunately, it is often the case that each data set is analyzed in vacuo, without regard to information on other scales or -omes. Multi-scale integration of data types to answer fundamental and practical questions in biomedicine is a significant challenge to the experimental and computational biology communities. This is a topic that is being tackled in a significant way in Systems Pharmacogenomics - which is exploring systems biology approaches for drug treatment response…
},
added-at = {2018-12-02T16:09:07.000+0100},
author = {P-Star and Group, Pgrn Systems Biology and Pharmgkb},
biburl = {https://www.bibsonomy.org/bibtex/217419b1ba6d67d40266c436d6a4cc13c/karthikraman},
citeulike-article-id = {10291273},
citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/22174300},
citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=22174300},
interhash = {fc707fbec72362d435421ad01771bde5},
intrahash = {17419b1ba6d67d40266c436d6a4cc13c},
issn = {1793-5091},
journal = {Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing},
keywords = {pharmacogenomics systems-biology},
pmid = {22174300},
posted-at = {2012-02-01 07:32:23},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Systems pharmacogenomics-bridging the gap.},
url = {http://view.ncbi.nlm.nih.gov/pubmed/22174300},
year = 2012
}