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Using Biological Pathway Data with Paxtools

A rapidly growing corpus of formal, computable pathway information can be used to answer important biological questions including finding non-trivial connections between cellular processes, identifying significantly altered portions of the cellular network in a disease state and building predictive...

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Detalles Bibliográficos
Autores principales: Demir, Emek, Babur, Özgün, Rodchenkov, Igor, Aksoy, Bülent Arman, Fukuda, Ken I., Gross, Benjamin, Sümer, Onur Selçuk, Bader, Gary D., Sander, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777916/
https://www.ncbi.nlm.nih.gov/pubmed/24068901
http://dx.doi.org/10.1371/journal.pcbi.1003194
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author Demir, Emek
Babur, Özgün
Rodchenkov, Igor
Aksoy, Bülent Arman
Fukuda, Ken I.
Gross, Benjamin
Sümer, Onur Selçuk
Bader, Gary D.
Sander, Chris
author_facet Demir, Emek
Babur, Özgün
Rodchenkov, Igor
Aksoy, Bülent Arman
Fukuda, Ken I.
Gross, Benjamin
Sümer, Onur Selçuk
Bader, Gary D.
Sander, Chris
author_sort Demir, Emek
collection PubMed
description A rapidly growing corpus of formal, computable pathway information can be used to answer important biological questions including finding non-trivial connections between cellular processes, identifying significantly altered portions of the cellular network in a disease state and building predictive models that can be used for precision medicine. Due to its complexity and fragmented nature, however, working with pathway data is still difficult. We present Paxtools, a Java library that contains algorithms, software components and converters for biological pathways represented in the standard BioPAX language. Paxtools allows scientists to focus on their scientific problem by removing technical barriers to access and analyse pathway information. Paxtools can run on any platform that has a Java Runtime Environment and was tested on most modern operating systems. Paxtools is open source and is available under the Lesser GNU public license (LGPL), which allows users to freely use the code in their software systems with a requirement for attribution. Source code for the current release (4.2.0) can be found in Software S1. A detailed manual for obtaining and using Paxtools can be found in Protocol S1. The latest sources and release bundles can be obtained from biopax.org/paxtools.
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spelling pubmed-37779162013-09-25 Using Biological Pathway Data with Paxtools Demir, Emek Babur, Özgün Rodchenkov, Igor Aksoy, Bülent Arman Fukuda, Ken I. Gross, Benjamin Sümer, Onur Selçuk Bader, Gary D. Sander, Chris PLoS Comput Biol Research Article A rapidly growing corpus of formal, computable pathway information can be used to answer important biological questions including finding non-trivial connections between cellular processes, identifying significantly altered portions of the cellular network in a disease state and building predictive models that can be used for precision medicine. Due to its complexity and fragmented nature, however, working with pathway data is still difficult. We present Paxtools, a Java library that contains algorithms, software components and converters for biological pathways represented in the standard BioPAX language. Paxtools allows scientists to focus on their scientific problem by removing technical barriers to access and analyse pathway information. Paxtools can run on any platform that has a Java Runtime Environment and was tested on most modern operating systems. Paxtools is open source and is available under the Lesser GNU public license (LGPL), which allows users to freely use the code in their software systems with a requirement for attribution. Source code for the current release (4.2.0) can be found in Software S1. A detailed manual for obtaining and using Paxtools can be found in Protocol S1. The latest sources and release bundles can be obtained from biopax.org/paxtools. Public Library of Science 2013-09-19 /pmc/articles/PMC3777916/ /pubmed/24068901 http://dx.doi.org/10.1371/journal.pcbi.1003194 Text en © 2013 Demir et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Demir, Emek
Babur, Özgün
Rodchenkov, Igor
Aksoy, Bülent Arman
Fukuda, Ken I.
Gross, Benjamin
Sümer, Onur Selçuk
Bader, Gary D.
Sander, Chris
Using Biological Pathway Data with Paxtools
title Using Biological Pathway Data with Paxtools
title_full Using Biological Pathway Data with Paxtools
title_fullStr Using Biological Pathway Data with Paxtools
title_full_unstemmed Using Biological Pathway Data with Paxtools
title_short Using Biological Pathway Data with Paxtools
title_sort using biological pathway data with paxtools
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777916/
https://www.ncbi.nlm.nih.gov/pubmed/24068901
http://dx.doi.org/10.1371/journal.pcbi.1003194
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