rBiopaxParser--an R package to parse, modify and visualize BioPAX data

Biological pathway data, stored in structured databases, is a useful source of knowledge for a wide range of bioinformatics algorithms and tools. The Biological Pathway Exchange (BioPAX) language has been established as a standard to store and annotate pathway information. However, use of these data...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bioinformatics 2013-02, Vol.29 (4), p.520-522
Hauptverfasser: Kramer, Frank, Bayerlová, Michaela, Klemm, Florian, Bleckmann, Annalen, Beissbarth, Tim
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 522
container_issue 4
container_start_page 520
container_title Bioinformatics
container_volume 29
creator Kramer, Frank
Bayerlová, Michaela
Klemm, Florian
Bleckmann, Annalen
Beissbarth, Tim
description Biological pathway data, stored in structured databases, is a useful source of knowledge for a wide range of bioinformatics algorithms and tools. The Biological Pathway Exchange (BioPAX) language has been established as a standard to store and annotate pathway information. However, use of these data within statistical analyses can be tedious. On the other hand, the statistical computing environment R has become the standard for bioinformatics analysis of large-scale genomics data. With this package, we hope to enable R users to work with BioPAX data and make use of the always increasing amount of biological pathway knowledge within data analysis methods. rBiopaxParser is a software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. These functions enable the user to access and modify specific parts of the BioPAX model. Furthermore, it allows to generate and layout regulatory graphs of controlling interactions and to visualize BioPAX pathways. rBiopaxParser is an open-source R package and has been submitted to Bioconductor.
doi_str_mv 10.1093/bioinformatics/bts710
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1323251814</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1323251814</sourcerecordid><originalsourceid>FETCH-LOGICAL-c455t-a4eff35352569fd05c02d7982cd1c7a9a1b8168dcae0eb0c7adbad2ac5afcbf83</originalsourceid><addsrcrecordid>eNqFkEtLw0AUhQdRbK3-BGWWLoydRyaZLGuxKhQsouAu3MxDRvNyJhHrrzfSWnDl6h4O59zL_RA6peSSkoxPC9e42ja-gs6pMC26kFKyh8aUJ2kUS0r3d5rwEToK4ZUQIohIDtGIcZbGjLIxWvgr17TwuQIfjI8iqPEDbkG9wYvBXTPIwb_AVaOdXWOoNf5woYfSfRk8NFezZ6yhg2N0YKEM5mQ7J-hpcf04v42W9zd389kyUrEQXQSxsZYLLphIMquJUITpNJNMaapSyIAWkiZSKzDEFGSwdAGagRJgVWEln6Dzzd7WN--9CV1euaBMWUJtmj7klA-vCSpp_H-UyVTKJEuyISo2UeWbELyxeetdBX6dU5L_0M7_0s43tIfe2fZEX1RG71q_ePk3s8eA1Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1287886969</pqid></control><display><type>article</type><title>rBiopaxParser--an R package to parse, modify and visualize BioPAX data</title><source>Oxford Journals Open Access Collection</source><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Kramer, Frank ; Bayerlová, Michaela ; Klemm, Florian ; Bleckmann, Annalen ; Beissbarth, Tim</creator><creatorcontrib>Kramer, Frank ; Bayerlová, Michaela ; Klemm, Florian ; Bleckmann, Annalen ; Beissbarth, Tim</creatorcontrib><description>Biological pathway data, stored in structured databases, is a useful source of knowledge for a wide range of bioinformatics algorithms and tools. The Biological Pathway Exchange (BioPAX) language has been established as a standard to store and annotate pathway information. However, use of these data within statistical analyses can be tedious. On the other hand, the statistical computing environment R has become the standard for bioinformatics analysis of large-scale genomics data. With this package, we hope to enable R users to work with BioPAX data and make use of the always increasing amount of biological pathway knowledge within data analysis methods. rBiopaxParser is a software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. These functions enable the user to access and modify specific parts of the BioPAX model. Furthermore, it allows to generate and layout regulatory graphs of controlling interactions and to visualize BioPAX pathways. rBiopaxParser is an open-source R package and has been submitted to Bioconductor.</description><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1367-4811</identifier><identifier>EISSN: 1460-2059</identifier><identifier>DOI: 10.1093/bioinformatics/bts710</identifier><identifier>PMID: 23274212</identifier><language>eng</language><publisher>England</publisher><subject>Algorithms ; Computational Biology ; Computer Graphics ; Databases, Factual ; Genomics ; Models, Biological ; Signal Transduction ; Software ; Vocabulary, Controlled</subject><ispartof>Bioinformatics, 2013-02, Vol.29 (4), p.520-522</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-a4eff35352569fd05c02d7982cd1c7a9a1b8168dcae0eb0c7adbad2ac5afcbf83</citedby><cites>FETCH-LOGICAL-c455t-a4eff35352569fd05c02d7982cd1c7a9a1b8168dcae0eb0c7adbad2ac5afcbf83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23274212$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kramer, Frank</creatorcontrib><creatorcontrib>Bayerlová, Michaela</creatorcontrib><creatorcontrib>Klemm, Florian</creatorcontrib><creatorcontrib>Bleckmann, Annalen</creatorcontrib><creatorcontrib>Beissbarth, Tim</creatorcontrib><title>rBiopaxParser--an R package to parse, modify and visualize BioPAX data</title><title>Bioinformatics</title><addtitle>Bioinformatics</addtitle><description>Biological pathway data, stored in structured databases, is a useful source of knowledge for a wide range of bioinformatics algorithms and tools. The Biological Pathway Exchange (BioPAX) language has been established as a standard to store and annotate pathway information. However, use of these data within statistical analyses can be tedious. On the other hand, the statistical computing environment R has become the standard for bioinformatics analysis of large-scale genomics data. With this package, we hope to enable R users to work with BioPAX data and make use of the always increasing amount of biological pathway knowledge within data analysis methods. rBiopaxParser is a software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. These functions enable the user to access and modify specific parts of the BioPAX model. Furthermore, it allows to generate and layout regulatory graphs of controlling interactions and to visualize BioPAX pathways. rBiopaxParser is an open-source R package and has been submitted to Bioconductor.</description><subject>Algorithms</subject><subject>Computational Biology</subject><subject>Computer Graphics</subject><subject>Databases, Factual</subject><subject>Genomics</subject><subject>Models, Biological</subject><subject>Signal Transduction</subject><subject>Software</subject><subject>Vocabulary, Controlled</subject><issn>1367-4803</issn><issn>1367-4811</issn><issn>1460-2059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkEtLw0AUhQdRbK3-BGWWLoydRyaZLGuxKhQsouAu3MxDRvNyJhHrrzfSWnDl6h4O59zL_RA6peSSkoxPC9e42ja-gs6pMC26kFKyh8aUJ2kUS0r3d5rwEToK4ZUQIohIDtGIcZbGjLIxWvgr17TwuQIfjI8iqPEDbkG9wYvBXTPIwb_AVaOdXWOoNf5woYfSfRk8NFezZ6yhg2N0YKEM5mQ7J-hpcf04v42W9zd389kyUrEQXQSxsZYLLphIMquJUITpNJNMaapSyIAWkiZSKzDEFGSwdAGagRJgVWEln6Dzzd7WN--9CV1euaBMWUJtmj7klA-vCSpp_H-UyVTKJEuyISo2UeWbELyxeetdBX6dU5L_0M7_0s43tIfe2fZEX1RG71q_ePk3s8eA1Q</recordid><startdate>20130215</startdate><enddate>20130215</enddate><creator>Kramer, Frank</creator><creator>Bayerlová, Michaela</creator><creator>Klemm, Florian</creator><creator>Bleckmann, Annalen</creator><creator>Beissbarth, Tim</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20130215</creationdate><title>rBiopaxParser--an R package to parse, modify and visualize BioPAX data</title><author>Kramer, Frank ; Bayerlová, Michaela ; Klemm, Florian ; Bleckmann, Annalen ; Beissbarth, Tim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-a4eff35352569fd05c02d7982cd1c7a9a1b8168dcae0eb0c7adbad2ac5afcbf83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Computational Biology</topic><topic>Computer Graphics</topic><topic>Databases, Factual</topic><topic>Genomics</topic><topic>Models, Biological</topic><topic>Signal Transduction</topic><topic>Software</topic><topic>Vocabulary, Controlled</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kramer, Frank</creatorcontrib><creatorcontrib>Bayerlová, Michaela</creatorcontrib><creatorcontrib>Klemm, Florian</creatorcontrib><creatorcontrib>Bleckmann, Annalen</creatorcontrib><creatorcontrib>Beissbarth, Tim</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kramer, Frank</au><au>Bayerlová, Michaela</au><au>Klemm, Florian</au><au>Bleckmann, Annalen</au><au>Beissbarth, Tim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>rBiopaxParser--an R package to parse, modify and visualize BioPAX data</atitle><jtitle>Bioinformatics</jtitle><addtitle>Bioinformatics</addtitle><date>2013-02-15</date><risdate>2013</risdate><volume>29</volume><issue>4</issue><spage>520</spage><epage>522</epage><pages>520-522</pages><issn>1367-4803</issn><eissn>1367-4811</eissn><eissn>1460-2059</eissn><abstract>Biological pathway data, stored in structured databases, is a useful source of knowledge for a wide range of bioinformatics algorithms and tools. The Biological Pathway Exchange (BioPAX) language has been established as a standard to store and annotate pathway information. However, use of these data within statistical analyses can be tedious. On the other hand, the statistical computing environment R has become the standard for bioinformatics analysis of large-scale genomics data. With this package, we hope to enable R users to work with BioPAX data and make use of the always increasing amount of biological pathway knowledge within data analysis methods. rBiopaxParser is a software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. These functions enable the user to access and modify specific parts of the BioPAX model. Furthermore, it allows to generate and layout regulatory graphs of controlling interactions and to visualize BioPAX pathways. rBiopaxParser is an open-source R package and has been submitted to Bioconductor.</abstract><cop>England</cop><pmid>23274212</pmid><doi>10.1093/bioinformatics/bts710</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1367-4803
ispartof Bioinformatics, 2013-02, Vol.29 (4), p.520-522
issn 1367-4803
1367-4811
1460-2059
language eng
recordid cdi_proquest_miscellaneous_1323251814
source Oxford Journals Open Access Collection; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection
subjects Algorithms
Computational Biology
Computer Graphics
Databases, Factual
Genomics
Models, Biological
Signal Transduction
Software
Vocabulary, Controlled
title rBiopaxParser--an R package to parse, modify and visualize BioPAX data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T13%3A56%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=rBiopaxParser--an%20R%20package%20to%20parse,%20modify%20and%20visualize%20BioPAX%20data&rft.jtitle=Bioinformatics&rft.au=Kramer,%20Frank&rft.date=2013-02-15&rft.volume=29&rft.issue=4&rft.spage=520&rft.epage=522&rft.pages=520-522&rft.issn=1367-4803&rft.eissn=1367-4811&rft_id=info:doi/10.1093/bioinformatics/bts710&rft_dat=%3Cproquest_cross%3E1323251814%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1287886969&rft_id=info:pmid/23274212&rfr_iscdi=true