MADMAX – Management and analysis database for multiple ~omics experiments

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...

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Main Authors: 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.
Format: Article
Language:English
Published: De Gruyter 2011-06-01
Series:Journal of Integrative Bioinformatics
Online Access:https://doi.org/10.1515/jib-2011-160
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spelling doaj-dd1820654bd549cbb911849aa4c183192021-09-06T19:40:31ZengDe GruyterJournal of Integrative Bioinformatics1613-45162011-06-0182597410.1515/jib-2011-160biecoll-jib-2011-160MADMAX – Management and analysis database for multiple ~omics experimentsLin Ke0Kools Harrie1de Groot Philip J.2Gavai Anand K.3Basnet Ram K.4Cheng Feng5Wu Jian6Wang Xiaowu7Lommen Arjen8Hooiveld Guido J. E. J.9Bonnema Guusje10Visser Richard G. F.11Muller Michael R.12Leunissen Jack A. M.13Laboratory of Bioinformatics, P.O. Box 569, 6700 AN Wageningen, Netherlands NetherlandsRIKILT, P.O. Box 230, 6700 AE Wageningen, NetherlandsNutrition, Metabolism and Genomics Group, P.O. Box 8129, 6700 AA Wageningen, NetherlandsLaboratory of Bioinformatics, P.O. Box 569, 6700 AN Wageningen, the Netherlands NetherlandsLaboratory of Plant Breeding, P.O. Box 386, 6700 AJ Wageningen, NetherlandsInstitute of Vegetable and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, ChinaInstitute of Vegetable and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, ChinaInstitute of Vegetable and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, ChinaRIKILT, P.O. Box 230, 6700 AE Wageningen, NetherlandsNutrition, Metabolism and Genomics Group, P.O. Box 8129, 6700 AA Wageningen, NetherlandsLaboratory of Plant Breeding, P.O. Box 386, 6700 AJ Wageningen, NetherlandsLaboratory of Plant Breeding, P.O. Box 386, 6700 AJ Wageningen, NetherlandsNutrition, Metabolism and Genomics Group, P.O. Box 8129, 6700 AA Wageningen, NetherlandsLaboratory of Bioinformatics, P.O. Box 569, 6700 AN Wageningen, the Netherlands NetherlandsThe 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.https://doi.org/10.1515/jib-2011-160
collection DOAJ
language English
format Article
sources DOAJ
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.
spellingShingle 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.
MADMAX – Management and analysis database for multiple ~omics experiments
Journal of Integrative Bioinformatics
author_facet 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 Lin Ke
title MADMAX – Management and analysis database for multiple ~omics experiments
title_short MADMAX – Management and analysis database for multiple ~omics experiments
title_full MADMAX – Management and analysis database for multiple ~omics experiments
title_fullStr MADMAX – Management and analysis database for multiple ~omics experiments
title_full_unstemmed MADMAX – Management and analysis database for multiple ~omics experiments
title_sort madmax – management and analysis database for multiple ~omics experiments
publisher De Gruyter
series Journal of Integrative Bioinformatics
issn 1613-4516
publishDate 2011-06-01
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.
url https://doi.org/10.1515/jib-2011-160
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