The GenePattern Notebook Environment
Interactive analysis notebook environments promise to streamline genomics research through interleaving text, multimedia, and executable code into unified, sharable, reproducible “research narratives.” However, current notebook systems require programming knowledge, limiting their wider adoption by...
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Veröffentlicht in: | Cell systems 2017-08, Vol.5 (2), p.149-151.e1 |
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container_issue | 2 |
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container_title | Cell systems |
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creator | Reich, Michael Tabor, Thorin Liefeld, Ted Thorvaldsdóttir, Helga Hill, Barbara Tamayo, Pablo Mesirov, Jill P. |
description | Interactive analysis notebook environments promise to streamline genomics research through interleaving text, multimedia, and executable code into unified, sharable, reproducible “research narratives.” However, current notebook systems require programming knowledge, limiting their wider adoption by the research community. We have developed the GenePattern Notebook environment (http://www.genepattern-notebook.org), to our knowledge the first system to integrate the dynamic capabilities of notebook systems with an investigator-focused, easy-to-use interface that provides access to hundreds of genomic tools without the need to write code.
[Display omitted]
•We integrated the GenePattern genomics platform with the Jupyter Notebook environment•Notebooks interleave text, graphics, and analyses into complete “research narratives”•Users can embed genomic analyses into notebooks without the need to write code•GenePattern Notebook is freely available at http://www.genepattern-notebook.org
Reich et al. have developed software that integrates the capabilities of electronic analysis notebooks and bioinformatics analysis portals. GenePattern Notebook uses the popular Jupyter Notebook platform that interleaves text, graphics, and code, and brings these tools for reproducible research, as well as access to hundreds of bioinformatics analyses, to non-programmers. |
doi_str_mv | 10.1016/j.cels.2017.07.003 |
format | Article |
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[Display omitted]
•We integrated the GenePattern genomics platform with the Jupyter Notebook environment•Notebooks interleave text, graphics, and analyses into complete “research narratives”•Users can embed genomic analyses into notebooks without the need to write code•GenePattern Notebook is freely available at http://www.genepattern-notebook.org
Reich et al. have developed software that integrates the capabilities of electronic analysis notebooks and bioinformatics analysis portals. GenePattern Notebook uses the popular Jupyter Notebook platform that interleaves text, graphics, and code, and brings these tools for reproducible research, as well as access to hundreds of bioinformatics analyses, to non-programmers.</description><identifier>ISSN: 2405-4712</identifier><identifier>EISSN: 2405-4720</identifier><identifier>DOI: 10.1016/j.cels.2017.07.003</identifier><identifier>PMID: 28822753</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>bioinformatics ; Computational Biology ; Gene Expression Profiling - methods ; Genomics ; integrative genomics ; open science ; reproducible research ; Software ; User-Computer Interface</subject><ispartof>Cell systems, 2017-08, Vol.5 (2), p.149-151.e1</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-129df76c8aa54dd32714e7b2f161713037839e248812c910cd42336214dfd5a33</citedby><cites>FETCH-LOGICAL-c455t-129df76c8aa54dd32714e7b2f161713037839e248812c910cd42336214dfd5a33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28822753$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Reich, Michael</creatorcontrib><creatorcontrib>Tabor, Thorin</creatorcontrib><creatorcontrib>Liefeld, Ted</creatorcontrib><creatorcontrib>Thorvaldsdóttir, Helga</creatorcontrib><creatorcontrib>Hill, Barbara</creatorcontrib><creatorcontrib>Tamayo, Pablo</creatorcontrib><creatorcontrib>Mesirov, Jill P.</creatorcontrib><title>The GenePattern Notebook Environment</title><title>Cell systems</title><addtitle>Cell Syst</addtitle><description>Interactive analysis notebook environments promise to streamline genomics research through interleaving text, multimedia, and executable code into unified, sharable, reproducible “research narratives.” However, current notebook systems require programming knowledge, limiting their wider adoption by the research community. We have developed the GenePattern Notebook environment (http://www.genepattern-notebook.org), to our knowledge the first system to integrate the dynamic capabilities of notebook systems with an investigator-focused, easy-to-use interface that provides access to hundreds of genomic tools without the need to write code.
[Display omitted]
•We integrated the GenePattern genomics platform with the Jupyter Notebook environment•Notebooks interleave text, graphics, and analyses into complete “research narratives”•Users can embed genomic analyses into notebooks without the need to write code•GenePattern Notebook is freely available at http://www.genepattern-notebook.org
Reich et al. have developed software that integrates the capabilities of electronic analysis notebooks and bioinformatics analysis portals. GenePattern Notebook uses the popular Jupyter Notebook platform that interleaves text, graphics, and code, and brings these tools for reproducible research, as well as access to hundreds of bioinformatics analyses, to non-programmers.</description><subject>bioinformatics</subject><subject>Computational Biology</subject><subject>Gene Expression Profiling - methods</subject><subject>Genomics</subject><subject>integrative genomics</subject><subject>open science</subject><subject>reproducible research</subject><subject>Software</subject><subject>User-Computer Interface</subject><issn>2405-4712</issn><issn>2405-4720</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEFLXDEQx0OpVFG_QA-yhx562XVmkrfJgyIUsSqIetBzyCbzatbdF5u8XfDbN8vaxV6EgRlm_vOf4SfEV4QJAk5P5xPPizIhQD2BGiA_iQNS0IyVJvi8q5H2xXEpcwBA1dYmfRH7ZAyRbuSB-PbwxKNL7vneDQPnfnSbBp6l9Dy66Ncxp37J_XAk9jq3KHz8lg_F46-Lh_Or8c3d5fX5z5uxV00zjJHa0OmpN841KgRJGhXrGXU4RY0SpDayZVLGIPkWwQdFUk4JVehC46Q8FGdb35fVbMnB19PZLexLjkuXX21y0f4_6eOT_Z3Wtmk0GTTV4PubQU5_VlwGu4ylclq4ntOqWGwltFJKA1VKW6nPqZTM3e4Mgt0QtnO7IWw3hC3UgM2DJ-8f3K3841kFP7aCusnryNkWH7n3HGJmP9iQ4kf-fwGSbIrs</recordid><startdate>20170823</startdate><enddate>20170823</enddate><creator>Reich, Michael</creator><creator>Tabor, Thorin</creator><creator>Liefeld, Ted</creator><creator>Thorvaldsdóttir, Helga</creator><creator>Hill, Barbara</creator><creator>Tamayo, Pablo</creator><creator>Mesirov, Jill P.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><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>5PM</scope></search><sort><creationdate>20170823</creationdate><title>The GenePattern Notebook Environment</title><author>Reich, Michael ; Tabor, Thorin ; Liefeld, Ted ; Thorvaldsdóttir, Helga ; Hill, Barbara ; Tamayo, Pablo ; Mesirov, Jill P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-129df76c8aa54dd32714e7b2f161713037839e248812c910cd42336214dfd5a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>bioinformatics</topic><topic>Computational Biology</topic><topic>Gene Expression Profiling - methods</topic><topic>Genomics</topic><topic>integrative genomics</topic><topic>open science</topic><topic>reproducible research</topic><topic>Software</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reich, Michael</creatorcontrib><creatorcontrib>Tabor, Thorin</creatorcontrib><creatorcontrib>Liefeld, Ted</creatorcontrib><creatorcontrib>Thorvaldsdóttir, Helga</creatorcontrib><creatorcontrib>Hill, Barbara</creatorcontrib><creatorcontrib>Tamayo, Pablo</creatorcontrib><creatorcontrib>Mesirov, Jill P.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><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>PubMed Central (Full Participant titles)</collection><jtitle>Cell systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reich, Michael</au><au>Tabor, Thorin</au><au>Liefeld, Ted</au><au>Thorvaldsdóttir, Helga</au><au>Hill, Barbara</au><au>Tamayo, Pablo</au><au>Mesirov, Jill P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The GenePattern Notebook Environment</atitle><jtitle>Cell systems</jtitle><addtitle>Cell Syst</addtitle><date>2017-08-23</date><risdate>2017</risdate><volume>5</volume><issue>2</issue><spage>149</spage><epage>151.e1</epage><pages>149-151.e1</pages><issn>2405-4712</issn><eissn>2405-4720</eissn><abstract>Interactive analysis notebook environments promise to streamline genomics research through interleaving text, multimedia, and executable code into unified, sharable, reproducible “research narratives.” However, current notebook systems require programming knowledge, limiting their wider adoption by the research community. We have developed the GenePattern Notebook environment (http://www.genepattern-notebook.org), to our knowledge the first system to integrate the dynamic capabilities of notebook systems with an investigator-focused, easy-to-use interface that provides access to hundreds of genomic tools without the need to write code.
[Display omitted]
•We integrated the GenePattern genomics platform with the Jupyter Notebook environment•Notebooks interleave text, graphics, and analyses into complete “research narratives”•Users can embed genomic analyses into notebooks without the need to write code•GenePattern Notebook is freely available at http://www.genepattern-notebook.org
Reich et al. have developed software that integrates the capabilities of electronic analysis notebooks and bioinformatics analysis portals. GenePattern Notebook uses the popular Jupyter Notebook platform that interleaves text, graphics, and code, and brings these tools for reproducible research, as well as access to hundreds of bioinformatics analyses, to non-programmers.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28822753</pmid><doi>10.1016/j.cels.2017.07.003</doi><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | bioinformatics Computational Biology Gene Expression Profiling - methods Genomics integrative genomics open science reproducible research Software User-Computer Interface |
title | The GenePattern Notebook Environment |
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