MADMAX: Management and analysis database for multiple~omics experiments

Ke Lin; Harrie Kools; Philip J. de Groot; Anand K. Gavai; Ram K. Basnet; Feng Cheng; Jian Wu; Xiaowu Wang; Arjen Lommen; Guido J.E.J. Hooiveld; Guusje Bonnema; Richard G.F. Visser; Michael R. Muller; Jack A.M. Leunissen

doi:0.2390/biecoll-jib-2011-160

MADMAX: Management and analysis database for multiple~omics experiments

Ke Lin, Harrie Kools, Philip J. de Groot, Anand K. Gavai, Ram K. Basnet, Feng Cheng, Jian Wu, Xiaowu Wang, Arjen Lommen, Guido J.E.J. Hooiveld, Guusje Bonnema, Richard G.F. Visser, Michael R. Muller, Jack A.M. Leunissen^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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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) will be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part which is independent of 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.

Original language	English
Pages (from-to)	160
Number of pages	1
Journal	Journal of integrative bioinformatics
Volume	8
Issue number	2
DOIs	https://doi.org/0.2390/biecoll-jib-2011-160
Publication status	Published - 2011
Externally published	Yes

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10.1515_jib-2011-160Final published version, 510 KBLicence: CC BY-NC-ND

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Lin, K., Kools, H., de Groot, P. J., Gavai, A. K., Basnet, R. K., Cheng, F., Wu, J., Wang, X., Lommen, A., Hooiveld, G. J. E. J., Bonnema, G., Visser, R. G. F., Muller, M. R., & Leunissen, J. A. M. (2011). MADMAX: Management and analysis database for multiple~omics experiments. Journal of integrative bioinformatics, 8(2), 160. https://doi.org/0.2390/biecoll-jib-2011-160

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title = "MADMAX: Management and analysis database for multiple~omics experiments",

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) will be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part which is independent of 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.",

author = "Ke Lin and Harrie Kools and {de Groot}, {Philip J.} and Gavai, {Anand K.} and Basnet, {Ram K.} and Feng Cheng and Jian Wu and Xiaowu Wang and Arjen Lommen and Hooiveld, {Guido J.E.J.} and Guusje Bonnema and Visser, {Richard G.F.} and Muller, {Michael R.} and Leunissen, {Jack A.M.}",

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AU - Lin, Ke

AU - Kools, Harrie

AU - de Groot, Philip J.

AU - Gavai, Anand K.

AU - Basnet, Ram K.

AU - Cheng, Feng

AU - Wu, Jian

AU - Wang, Xiaowu

AU - Lommen, Arjen

AU - Hooiveld, Guido J.E.J.

AU - Bonnema, Guusje

AU - Visser, Richard G.F.

AU - Muller, Michael R.

AU - Leunissen, Jack A.M.

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AB - 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) will be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part which is independent of 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.

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MADMAX: Management and analysis database for multiple~omics experiments

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