Scientists seeking to understand the inner workings of cells have access to a multitude of pathway data resources. However, the representations of pathway data within these resources are not consistent or interchangeable. To facilitate easy information retrieval from a wide variety of pathway resources, such as signal transduction, gene regulation, molecular interaction and metabolic pathway databases, a broad effort in the biopathways community called BioPAX was formed. New biological pathway software applications built using the BioPAX standard will be able to integrate knowledge from multiple sources in a coherent and reliable way. This article reports the progress that the BioPAX work-group has made towards building and deploying the BioPAX data-exchange format for biological pathway data.
%0 Journal Article
%1 Luciano_DDT05
%A Luciano, Joanne S
%D 2005
%J Drug Discov Today
%K Technology Proteomics Models ComparativeStudy MolecularBiology ProgrammingLanguages DataInterpretation Humans Factual SignalTransduction Databases Statistical ComputationalBiology Biological Pharmaceutical Software 15993813 Metabolism
%N 13
%P 937--942
%R 10.1016/S1359-6446(05)03501-4
%T PAX of mind for pathway researchers.
%U http://dx.doi.org/10.1016/S1359-6446(05)03501-4
%V 10
%X Scientists seeking to understand the inner workings of cells have access to a multitude of pathway data resources. However, the representations of pathway data within these resources are not consistent or interchangeable. To facilitate easy information retrieval from a wide variety of pathway resources, such as signal transduction, gene regulation, molecular interaction and metabolic pathway databases, a broad effort in the biopathways community called BioPAX was formed. New biological pathway software applications built using the BioPAX standard will be able to integrate knowledge from multiple sources in a coherent and reliable way. This article reports the progress that the BioPAX work-group has made towards building and deploying the BioPAX data-exchange format for biological pathway data.
@article{Luciano_DDT05,
abstract = {Scientists seeking to understand the inner workings of cells have access to a multitude of pathway data resources. However, the representations of pathway data within these resources are not consistent or interchangeable. To facilitate easy information retrieval from a wide variety of pathway resources, such as signal transduction, gene regulation, molecular interaction and metabolic pathway databases, a broad effort in the biopathways community called BioPAX was formed. New biological pathway software applications built using the BioPAX standard will be able to integrate knowledge from multiple sources in a coherent and reliable way. This article reports the progress that the BioPAX work-group has made towards building and deploying the BioPAX data-exchange format for biological pathway data.},
added-at = {2009-08-17T00:44:05.000+0200},
author = {Luciano, Joanne S},
biburl = {https://www.bibsonomy.org/bibtex/2735f523f2b3051f52479ba3f3e952b22/cbrewster},
doi = {10.1016/S1359-6446(05)03501-4},
interhash = {b5646d8953d07be5db4503765ca4708b},
intrahash = {735f523f2b3051f52479ba3f3e952b22},
journal = {Drug Discov Today},
keywords = {Technology Proteomics Models ComparativeStudy MolecularBiology ProgrammingLanguages DataInterpretation Humans Factual SignalTransduction Databases Statistical ComputationalBiology Biological Pharmaceutical Software 15993813 Metabolism},
month = Jul,
number = 13,
pages = {937--942},
pii = {S1359-6446(05)03501-4},
pmid = {15993813},
timestamp = {2009-08-17T00:44:05.000+0200},
title = {{PAX} of mind for pathway researchers.},
url = {http://dx.doi.org/10.1016/S1359-6446(05)03501-4},
volume = 10,
year = 2005
}