MADMAX – Management and analysis database for multiple ~omics experiments
The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the understanding of biological systems. MADMAX is designe...
Gespeichert in:
| Veröffentlicht in: | Journal of integrative bioinformatics 2011-07, Vol.8 (2), p.59-74 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 74 |
|---|---|
| container_issue | 2 |
| container_start_page | 59 |
| container_title | Journal of integrative bioinformatics |
| container_volume | 8 |
| creator | Lin, Ke Kools, Harrie de Groot, Philip J. Gavai, Anand K. Basnet, Ram K. Cheng, Feng Wu, Jian Wang, Xiaowu Lommen, Arjen Hooiveld, Guido J. E. J. Bonnema, Guusje Visser, Richard G. F. Muller, Michael R. Leunissen, Jack A. M. |
| description | The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the understanding of biological systems. MADMAX is designed to provide a solution for storage and analysis of complex ~omics datasets. In addition, analysis results (such as lists of genes) can be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part, which is linked to the different analysis pipelines. A pilot study of different type of ~omics data in Brassica rapa demonstrates the possible use of MADMAX. The web-based user interface provides easy access to data and analysis tools on top of the database. |
| doi_str_mv | 10.2390/biecoll-jib-2011-160 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_878821835</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>878821835</sourcerecordid><originalsourceid>FETCH-LOGICAL-c248t-761575783d73c3284a6b247b7f0a1e548fa084585081e0056665a6430d3f6aaf3</originalsourceid><addsrcrecordid>eNo1kM1Kw0AQgBdBbKl9A5G9eYruZrM_uVnqL7Z4UfC2TJJJSdk0MZugvYjv4Bv6JG5pHRhmDt8MMx8hZ5xdxiJlV1mFeeNctK6yKGacR1yxIzLmiosokVyNyNT7NQshUpNqdkJGMdfaSMHG5Gk5u1nO3ujv9w9dwgZWWOOmp7ApQoLb-srTAnrIwCMtm47Wg-ur1iH9auoq9xQ_W-yq3ZA_JcclOI_TQ52Q17vbl_lDtHi-f5zPFlEeJ6aPtOJSS21EoUUuYpOAyuJEZ7pkwFEmpgRmEmkkMxwZk0opCSoRrBClAijFhFzs97Zd8z6g721d-Rydgw02g7dGGxNzI2Qgzw_kkNVY2DZcCt3W_v8fgOs98AGux67AVTdsQ2PXzdCF_73lzO4s24NlGyzbnWUbLJtYpuIPNT1zMg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>878821835</pqid></control><display><type>article</type><title>MADMAX – Management and analysis database for multiple ~omics experiments</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Walter De Gruyter: Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Lin, Ke ; Kools, Harrie ; de Groot, Philip J. ; Gavai, Anand K. ; Basnet, Ram K. ; Cheng, Feng ; Wu, Jian ; Wang, Xiaowu ; Lommen, Arjen ; Hooiveld, Guido J. E. J. ; Bonnema, Guusje ; Visser, Richard G. F. ; Muller, Michael R. ; Leunissen, Jack A. M.</creator><creatorcontrib>Lin, Ke ; Kools, Harrie ; de Groot, Philip J. ; Gavai, Anand K. ; Basnet, Ram K. ; Cheng, Feng ; Wu, Jian ; Wang, Xiaowu ; Lommen, Arjen ; Hooiveld, Guido J. E. J. ; Bonnema, Guusje ; Visser, Richard G. F. ; Muller, Michael R. ; Leunissen, Jack A. M.</creatorcontrib><description>The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the understanding of biological systems. MADMAX is designed to provide a solution for storage and analysis of complex ~omics datasets. In addition, analysis results (such as lists of genes) can be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part, which is linked to the different analysis pipelines. A pilot study of different type of ~omics data in Brassica rapa demonstrates the possible use of MADMAX. The web-based user interface provides easy access to data and analysis tools on top of the database.</description><identifier>EISSN: 1613-4516</identifier><identifier>DOI: 10.2390/biecoll-jib-2011-160</identifier><identifier>PMID: 21778530</identifier><language>eng</language><publisher>Germany: IMBio e.V</publisher><subject>Brassica rapa - genetics ; Brassica rapa - metabolism ; Databases, Genetic ; Genomics - methods ; Internet ; Metabolomics - methods ; Software ; User-Computer Interface</subject><ispartof>Journal of integrative bioinformatics, 2011-07, Vol.8 (2), p.59-74</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c248t-761575783d73c3284a6b247b7f0a1e548fa084585081e0056665a6430d3f6aaf3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.2390/biecoll-jib-2011-160/pdf$$EPDF$$P50$$Gwalterdegruyter$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.2390/biecoll-jib-2011-160/html$$EHTML$$P50$$Gwalterdegruyter$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,27924,27925,67158,68942</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21778530$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lin, Ke</creatorcontrib><creatorcontrib>Kools, Harrie</creatorcontrib><creatorcontrib>de Groot, Philip J.</creatorcontrib><creatorcontrib>Gavai, Anand K.</creatorcontrib><creatorcontrib>Basnet, Ram K.</creatorcontrib><creatorcontrib>Cheng, Feng</creatorcontrib><creatorcontrib>Wu, Jian</creatorcontrib><creatorcontrib>Wang, Xiaowu</creatorcontrib><creatorcontrib>Lommen, Arjen</creatorcontrib><creatorcontrib>Hooiveld, Guido J. E. J.</creatorcontrib><creatorcontrib>Bonnema, Guusje</creatorcontrib><creatorcontrib>Visser, Richard G. F.</creatorcontrib><creatorcontrib>Muller, Michael R.</creatorcontrib><creatorcontrib>Leunissen, Jack A. M.</creatorcontrib><title>MADMAX – Management and analysis database for multiple ~omics experiments</title><title>Journal of integrative bioinformatics</title><addtitle>J Integr Bioinform</addtitle><description>The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the understanding of biological systems. MADMAX is designed to provide a solution for storage and analysis of complex ~omics datasets. In addition, analysis results (such as lists of genes) can be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part, which is linked to the different analysis pipelines. A pilot study of different type of ~omics data in Brassica rapa demonstrates the possible use of MADMAX. The web-based user interface provides easy access to data and analysis tools on top of the database.</description><subject>Brassica rapa - genetics</subject><subject>Brassica rapa - metabolism</subject><subject>Databases, Genetic</subject><subject>Genomics - methods</subject><subject>Internet</subject><subject>Metabolomics - methods</subject><subject>Software</subject><subject>User-Computer Interface</subject><issn>1613-4516</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kM1Kw0AQgBdBbKl9A5G9eYruZrM_uVnqL7Z4UfC2TJJJSdk0MZugvYjv4Bv6JG5pHRhmDt8MMx8hZ5xdxiJlV1mFeeNctK6yKGacR1yxIzLmiosokVyNyNT7NQshUpNqdkJGMdfaSMHG5Gk5u1nO3ujv9w9dwgZWWOOmp7ApQoLb-srTAnrIwCMtm47Wg-ur1iH9auoq9xQ_W-yq3ZA_JcclOI_TQ52Q17vbl_lDtHi-f5zPFlEeJ6aPtOJSS21EoUUuYpOAyuJEZ7pkwFEmpgRmEmkkMxwZk0opCSoRrBClAijFhFzs97Zd8z6g721d-Rydgw02g7dGGxNzI2Qgzw_kkNVY2DZcCt3W_v8fgOs98AGux67AVTdsQ2PXzdCF_73lzO4s24NlGyzbnWUbLJtYpuIPNT1zMg</recordid><startdate>20110721</startdate><enddate>20110721</enddate><creator>Lin, Ke</creator><creator>Kools, Harrie</creator><creator>de Groot, Philip J.</creator><creator>Gavai, Anand K.</creator><creator>Basnet, Ram K.</creator><creator>Cheng, Feng</creator><creator>Wu, Jian</creator><creator>Wang, Xiaowu</creator><creator>Lommen, Arjen</creator><creator>Hooiveld, Guido J. E. J.</creator><creator>Bonnema, Guusje</creator><creator>Visser, Richard G. F.</creator><creator>Muller, Michael R.</creator><creator>Leunissen, Jack A. M.</creator><general>IMBio e.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20110721</creationdate><title>MADMAX – Management and analysis database for multiple ~omics experiments</title><author>Lin, Ke ; Kools, Harrie ; de Groot, Philip J. ; Gavai, Anand K. ; Basnet, Ram K. ; Cheng, Feng ; Wu, Jian ; Wang, Xiaowu ; Lommen, Arjen ; Hooiveld, Guido J. E. J. ; Bonnema, Guusje ; Visser, Richard G. F. ; Muller, Michael R. ; Leunissen, Jack A. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c248t-761575783d73c3284a6b247b7f0a1e548fa084585081e0056665a6430d3f6aaf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Brassica rapa - genetics</topic><topic>Brassica rapa - metabolism</topic><topic>Databases, Genetic</topic><topic>Genomics - methods</topic><topic>Internet</topic><topic>Metabolomics - methods</topic><topic>Software</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Ke</creatorcontrib><creatorcontrib>Kools, Harrie</creatorcontrib><creatorcontrib>de Groot, Philip J.</creatorcontrib><creatorcontrib>Gavai, Anand K.</creatorcontrib><creatorcontrib>Basnet, Ram K.</creatorcontrib><creatorcontrib>Cheng, Feng</creatorcontrib><creatorcontrib>Wu, Jian</creatorcontrib><creatorcontrib>Wang, Xiaowu</creatorcontrib><creatorcontrib>Lommen, Arjen</creatorcontrib><creatorcontrib>Hooiveld, Guido J. E. J.</creatorcontrib><creatorcontrib>Bonnema, Guusje</creatorcontrib><creatorcontrib>Visser, Richard G. F.</creatorcontrib><creatorcontrib>Muller, Michael R.</creatorcontrib><creatorcontrib>Leunissen, Jack A. M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of integrative bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Ke</au><au>Kools, Harrie</au><au>de Groot, Philip J.</au><au>Gavai, Anand K.</au><au>Basnet, Ram K.</au><au>Cheng, Feng</au><au>Wu, Jian</au><au>Wang, Xiaowu</au><au>Lommen, Arjen</au><au>Hooiveld, Guido J. E. J.</au><au>Bonnema, Guusje</au><au>Visser, Richard G. F.</au><au>Muller, Michael R.</au><au>Leunissen, Jack A. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MADMAX – Management and analysis database for multiple ~omics experiments</atitle><jtitle>Journal of integrative bioinformatics</jtitle><addtitle>J Integr Bioinform</addtitle><date>2011-07-21</date><risdate>2011</risdate><volume>8</volume><issue>2</issue><spage>59</spage><epage>74</epage><pages>59-74</pages><eissn>1613-4516</eissn><abstract>The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the understanding of biological systems. MADMAX is designed to provide a solution for storage and analysis of complex ~omics datasets. In addition, analysis results (such as lists of genes) can be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part, which is linked to the different analysis pipelines. A pilot study of different type of ~omics data in Brassica rapa demonstrates the possible use of MADMAX. The web-based user interface provides easy access to data and analysis tools on top of the database.</abstract><cop>Germany</cop><pub>IMBio e.V</pub><pmid>21778530</pmid><doi>10.2390/biecoll-jib-2011-160</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | EISSN: 1613-4516 |
| ispartof | Journal of integrative bioinformatics, 2011-07, Vol.8 (2), p.59-74 |
| issn | 1613-4516 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_878821835 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Walter De Gruyter: Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Brassica rapa - genetics Brassica rapa - metabolism Databases, Genetic Genomics - methods Internet Metabolomics - methods Software User-Computer Interface |
| title | MADMAX – Management and analysis database for multiple ~omics experiments |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T04%3A49%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MADMAX%20%E2%80%93%20Management%20and%20analysis%20database%20for%20multiple%20~omics%20experiments&rft.jtitle=Journal%20of%20integrative%20bioinformatics&rft.au=Lin,%20Ke&rft.date=2011-07-21&rft.volume=8&rft.issue=2&rft.spage=59&rft.epage=74&rft.pages=59-74&rft.eissn=1613-4516&rft_id=info:doi/10.2390/biecoll-jib-2011-160&rft_dat=%3Cproquest_pubme%3E878821835%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=878821835&rft_id=info:pmid/21778530&rfr_iscdi=true |