Expander: from expression microarrays to networks and functions

A major challenge in the analysis of gene expression microarray data is to extract meaningful biological knowledge out of the huge volume of raw data. Expander (EXPression ANalyzer and DisplayER) is an integrated software platform for the analysis of gene expression data, which is freely available f...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature protocols 2010-02, Vol.5 (2), p.303-322
Hauptverfasser: Ulitsky, Igor, Maron-Katz, Adi, Shavit, Seagull, Sagir, Dorit, Linhart, Chaim, Elkon, Ran, Tanay, Amos, Sharan, Roded, Shiloh, Yosef, Shamir, Ron
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 322
container_issue 2
container_start_page 303
container_title Nature protocols
container_volume 5
creator Ulitsky, Igor
Maron-Katz, Adi
Shavit, Seagull
Sagir, Dorit
Linhart, Chaim
Elkon, Ran
Tanay, Amos
Sharan, Roded
Shiloh, Yosef
Shamir, Ron
description A major challenge in the analysis of gene expression microarray data is to extract meaningful biological knowledge out of the huge volume of raw data. Expander (EXPression ANalyzer and DisplayER) is an integrated software platform for the analysis of gene expression data, which is freely available for academic use. It is designed to support all the stages of microarray data analysis, from raw data normalization to inference of transcriptional regulatory networks. The microarray analysis described in this protocol starts with importing the data into Expander 5.0 and is followed by normalization and filtering. Then, clustering and network-based analyses are performed. The gene groups identified are tested for enrichment in function (based on Gene Ontology), co-regulation (using transcription factor and microRNA target predictions) or co-location. The results of each analysis step can be visualized in a number of ways. The complete protocol can be executed in ≈1 h.
doi_str_mv 10.1038/nprot.2009.230
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_733102431</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A219010306</galeid><sourcerecordid>A219010306</sourcerecordid><originalsourceid>FETCH-LOGICAL-c529t-b39c5e5d8823cc707ae850663f453eea55e7e103b290d204d0638bedc104bc383</originalsourceid><addsrcrecordid>eNptkUFv1DAQhS0EomXhyhFF4oA4ZDv2JHHMpaqqApUqVSpwthxnskrZ2IvtiO2_x9sW2qKVD7bG3zzNm8fYWw5LDtgeuU3waSkA1FIgPGOHXNZQCqnU89t3VQreqgP2KsZrgEpiI1-yAwEcqwrhkB2fbTfG9RQ-FUPwU0HbTaAYR--KabTBmxDMTSySLxyl3z78jEXGi2F2NmUovmYvBrOO9Ob-XrAfn8--n34tLy6_nJ-eXJS2FiqVHSpbU923rUBrJUhDbQ1Ng0NVI5Gpa5KUDXVCQS-g6qHBtqPecqg6iy0u2Ic73ez310wx6WmMltZr48jPUUtEDqJCnsn3_5HXfg4uD6c5ikagkigeqJVZkx7d4FMwdqepTwRXkGfJIyzYcg-VT095O97RMOb6k4aPTxoyk2ibVmaOUZ9_u9orntccY6BBb8I4mXCjOehduPo2XL0LV-dwc8O7e2dzN1H_D_-bZgaO7oCYv9yKwiPr-yX_ADX7rNE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1326239732</pqid></control><display><type>article</type><title>Expander: from expression microarrays to networks and functions</title><source>MEDLINE</source><source>Nature Journals Online</source><source>SpringerLink Journals - AutoHoldings</source><creator>Ulitsky, Igor ; Maron-Katz, Adi ; Shavit, Seagull ; Sagir, Dorit ; Linhart, Chaim ; Elkon, Ran ; Tanay, Amos ; Sharan, Roded ; Shiloh, Yosef ; Shamir, Ron</creator><creatorcontrib>Ulitsky, Igor ; Maron-Katz, Adi ; Shavit, Seagull ; Sagir, Dorit ; Linhart, Chaim ; Elkon, Ran ; Tanay, Amos ; Sharan, Roded ; Shiloh, Yosef ; Shamir, Ron</creatorcontrib><description>A major challenge in the analysis of gene expression microarray data is to extract meaningful biological knowledge out of the huge volume of raw data. Expander (EXPression ANalyzer and DisplayER) is an integrated software platform for the analysis of gene expression data, which is freely available for academic use. It is designed to support all the stages of microarray data analysis, from raw data normalization to inference of transcriptional regulatory networks. The microarray analysis described in this protocol starts with importing the data into Expander 5.0 and is followed by normalization and filtering. Then, clustering and network-based analyses are performed. The gene groups identified are tested for enrichment in function (based on Gene Ontology), co-regulation (using transcription factor and microRNA target predictions) or co-location. The results of each analysis step can be visualized in a number of ways. The complete protocol can be executed in ≈1 h.</description><identifier>ISSN: 1754-2189</identifier><identifier>EISSN: 1750-2799</identifier><identifier>DOI: 10.1038/nprot.2009.230</identifier><identifier>PMID: 20134430</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/114/794 ; 631/1647/2017/2079 ; Algorithms ; Analytical Chemistry ; Animals ; Biological Techniques ; Biomedical and Life Sciences ; Chromosome Mapping ; Clustering ; Computational Biology/Bioinformatics ; Computer science ; Data analysis ; DNA microarrays ; Escherichia coli - genetics ; Gene Expression ; Gene Expression Regulation ; Genetic engineering ; Genetic Techniques ; Genomics ; Humans ; Integrated software ; Life Sciences ; Methods ; Mice ; Microarrays ; MicroRNAs ; MicroRNAs - genetics ; Multigene Family - genetics ; Oligonucleotide Array Sequence Analysis ; Ontology ; Organic Chemistry ; Plants - genetics ; Promoter Regions, Genetic ; Protocol ; Rats ; Saccharomyces cerevisiae - genetics ; Software ; Transcription factors ; Transcription Factors - genetics</subject><ispartof>Nature protocols, 2010-02, Vol.5 (2), p.303-322</ispartof><rights>Springer Nature Limited 2010</rights><rights>COPYRIGHT 2010 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Feb 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c529t-b39c5e5d8823cc707ae850663f453eea55e7e103b290d204d0638bedc104bc383</citedby><cites>FETCH-LOGICAL-c529t-b39c5e5d8823cc707ae850663f453eea55e7e103b290d204d0638bedc104bc383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nprot.2009.230$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nprot.2009.230$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20134430$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ulitsky, Igor</creatorcontrib><creatorcontrib>Maron-Katz, Adi</creatorcontrib><creatorcontrib>Shavit, Seagull</creatorcontrib><creatorcontrib>Sagir, Dorit</creatorcontrib><creatorcontrib>Linhart, Chaim</creatorcontrib><creatorcontrib>Elkon, Ran</creatorcontrib><creatorcontrib>Tanay, Amos</creatorcontrib><creatorcontrib>Sharan, Roded</creatorcontrib><creatorcontrib>Shiloh, Yosef</creatorcontrib><creatorcontrib>Shamir, Ron</creatorcontrib><title>Expander: from expression microarrays to networks and functions</title><title>Nature protocols</title><addtitle>Nat Protoc</addtitle><addtitle>Nat Protoc</addtitle><description>A major challenge in the analysis of gene expression microarray data is to extract meaningful biological knowledge out of the huge volume of raw data. Expander (EXPression ANalyzer and DisplayER) is an integrated software platform for the analysis of gene expression data, which is freely available for academic use. It is designed to support all the stages of microarray data analysis, from raw data normalization to inference of transcriptional regulatory networks. The microarray analysis described in this protocol starts with importing the data into Expander 5.0 and is followed by normalization and filtering. Then, clustering and network-based analyses are performed. The gene groups identified are tested for enrichment in function (based on Gene Ontology), co-regulation (using transcription factor and microRNA target predictions) or co-location. The results of each analysis step can be visualized in a number of ways. The complete protocol can be executed in ≈1 h.</description><subject>631/114/794</subject><subject>631/1647/2017/2079</subject><subject>Algorithms</subject><subject>Analytical Chemistry</subject><subject>Animals</subject><subject>Biological Techniques</subject><subject>Biomedical and Life Sciences</subject><subject>Chromosome Mapping</subject><subject>Clustering</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computer science</subject><subject>Data analysis</subject><subject>DNA microarrays</subject><subject>Escherichia coli - genetics</subject><subject>Gene Expression</subject><subject>Gene Expression Regulation</subject><subject>Genetic engineering</subject><subject>Genetic Techniques</subject><subject>Genomics</subject><subject>Humans</subject><subject>Integrated software</subject><subject>Life Sciences</subject><subject>Methods</subject><subject>Mice</subject><subject>Microarrays</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>Multigene Family - genetics</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Ontology</subject><subject>Organic Chemistry</subject><subject>Plants - genetics</subject><subject>Promoter Regions, Genetic</subject><subject>Protocol</subject><subject>Rats</subject><subject>Saccharomyces cerevisiae - genetics</subject><subject>Software</subject><subject>Transcription factors</subject><subject>Transcription Factors - genetics</subject><issn>1754-2189</issn><issn>1750-2799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptkUFv1DAQhS0EomXhyhFF4oA4ZDv2JHHMpaqqApUqVSpwthxnskrZ2IvtiO2_x9sW2qKVD7bG3zzNm8fYWw5LDtgeuU3waSkA1FIgPGOHXNZQCqnU89t3VQreqgP2KsZrgEpiI1-yAwEcqwrhkB2fbTfG9RQ-FUPwU0HbTaAYR--KabTBmxDMTSySLxyl3z78jEXGi2F2NmUovmYvBrOO9Ob-XrAfn8--n34tLy6_nJ-eXJS2FiqVHSpbU923rUBrJUhDbQ1Ng0NVI5Gpa5KUDXVCQS-g6qHBtqPecqg6iy0u2Ic73ez310wx6WmMltZr48jPUUtEDqJCnsn3_5HXfg4uD6c5ikagkigeqJVZkx7d4FMwdqepTwRXkGfJIyzYcg-VT095O97RMOb6k4aPTxoyk2ibVmaOUZ9_u9orntccY6BBb8I4mXCjOehduPo2XL0LV-dwc8O7e2dzN1H_D_-bZgaO7oCYv9yKwiPr-yX_ADX7rNE</recordid><startdate>201002</startdate><enddate>201002</enddate><creator>Ulitsky, Igor</creator><creator>Maron-Katz, Adi</creator><creator>Shavit, Seagull</creator><creator>Sagir, Dorit</creator><creator>Linhart, Chaim</creator><creator>Elkon, Ran</creator><creator>Tanay, Amos</creator><creator>Sharan, Roded</creator><creator>Shiloh, Yosef</creator><creator>Shamir, Ron</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><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>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7T5</scope><scope>7T7</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>201002</creationdate><title>Expander: from expression microarrays to networks and functions</title><author>Ulitsky, Igor ; Maron-Katz, Adi ; Shavit, Seagull ; Sagir, Dorit ; Linhart, Chaim ; Elkon, Ran ; Tanay, Amos ; Sharan, Roded ; Shiloh, Yosef ; Shamir, Ron</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c529t-b39c5e5d8823cc707ae850663f453eea55e7e103b290d204d0638bedc104bc383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>631/114/794</topic><topic>631/1647/2017/2079</topic><topic>Algorithms</topic><topic>Analytical Chemistry</topic><topic>Animals</topic><topic>Biological Techniques</topic><topic>Biomedical and Life Sciences</topic><topic>Chromosome Mapping</topic><topic>Clustering</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computer science</topic><topic>Data analysis</topic><topic>DNA microarrays</topic><topic>Escherichia coli - genetics</topic><topic>Gene Expression</topic><topic>Gene Expression Regulation</topic><topic>Genetic engineering</topic><topic>Genetic Techniques</topic><topic>Genomics</topic><topic>Humans</topic><topic>Integrated software</topic><topic>Life Sciences</topic><topic>Methods</topic><topic>Mice</topic><topic>Microarrays</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>Multigene Family - genetics</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Ontology</topic><topic>Organic Chemistry</topic><topic>Plants - genetics</topic><topic>Promoter Regions, Genetic</topic><topic>Protocol</topic><topic>Rats</topic><topic>Saccharomyces cerevisiae - genetics</topic><topic>Software</topic><topic>Transcription factors</topic><topic>Transcription Factors - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ulitsky, Igor</creatorcontrib><creatorcontrib>Maron-Katz, Adi</creatorcontrib><creatorcontrib>Shavit, Seagull</creatorcontrib><creatorcontrib>Sagir, Dorit</creatorcontrib><creatorcontrib>Linhart, Chaim</creatorcontrib><creatorcontrib>Elkon, Ran</creatorcontrib><creatorcontrib>Tanay, Amos</creatorcontrib><creatorcontrib>Sharan, Roded</creatorcontrib><creatorcontrib>Shiloh, Yosef</creatorcontrib><creatorcontrib>Shamir, Ron</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Nature protocols</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ulitsky, Igor</au><au>Maron-Katz, Adi</au><au>Shavit, Seagull</au><au>Sagir, Dorit</au><au>Linhart, Chaim</au><au>Elkon, Ran</au><au>Tanay, Amos</au><au>Sharan, Roded</au><au>Shiloh, Yosef</au><au>Shamir, Ron</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Expander: from expression microarrays to networks and functions</atitle><jtitle>Nature protocols</jtitle><stitle>Nat Protoc</stitle><addtitle>Nat Protoc</addtitle><date>2010-02</date><risdate>2010</risdate><volume>5</volume><issue>2</issue><spage>303</spage><epage>322</epage><pages>303-322</pages><issn>1754-2189</issn><eissn>1750-2799</eissn><abstract>A major challenge in the analysis of gene expression microarray data is to extract meaningful biological knowledge out of the huge volume of raw data. Expander (EXPression ANalyzer and DisplayER) is an integrated software platform for the analysis of gene expression data, which is freely available for academic use. It is designed to support all the stages of microarray data analysis, from raw data normalization to inference of transcriptional regulatory networks. The microarray analysis described in this protocol starts with importing the data into Expander 5.0 and is followed by normalization and filtering. Then, clustering and network-based analyses are performed. The gene groups identified are tested for enrichment in function (based on Gene Ontology), co-regulation (using transcription factor and microRNA target predictions) or co-location. The results of each analysis step can be visualized in a number of ways. The complete protocol can be executed in ≈1 h.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>20134430</pmid><doi>10.1038/nprot.2009.230</doi><tpages>20</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1754-2189
ispartof Nature protocols, 2010-02, Vol.5 (2), p.303-322
issn 1754-2189
1750-2799
language eng
recordid cdi_proquest_miscellaneous_733102431
source MEDLINE; Nature Journals Online; SpringerLink Journals - AutoHoldings
subjects 631/114/794
631/1647/2017/2079
Algorithms
Analytical Chemistry
Animals
Biological Techniques
Biomedical and Life Sciences
Chromosome Mapping
Clustering
Computational Biology/Bioinformatics
Computer science
Data analysis
DNA microarrays
Escherichia coli - genetics
Gene Expression
Gene Expression Regulation
Genetic engineering
Genetic Techniques
Genomics
Humans
Integrated software
Life Sciences
Methods
Mice
Microarrays
MicroRNAs
MicroRNAs - genetics
Multigene Family - genetics
Oligonucleotide Array Sequence Analysis
Ontology
Organic Chemistry
Plants - genetics
Promoter Regions, Genetic
Protocol
Rats
Saccharomyces cerevisiae - genetics
Software
Transcription factors
Transcription Factors - genetics
title Expander: from expression microarrays to networks and functions
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T09%3A59%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Expander:%20from%20expression%20microarrays%20to%20networks%20and%20functions&rft.jtitle=Nature%20protocols&rft.au=Ulitsky,%20Igor&rft.date=2010-02&rft.volume=5&rft.issue=2&rft.spage=303&rft.epage=322&rft.pages=303-322&rft.issn=1754-2189&rft.eissn=1750-2799&rft_id=info:doi/10.1038/nprot.2009.230&rft_dat=%3Cgale_proqu%3EA219010306%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1326239732&rft_id=info:pmid/20134430&rft_galeid=A219010306&rfr_iscdi=true