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Mayday - integrative analytics for expression data

BACKGROUND: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the generated data makes visual data exploration ever more important. Fast deployment of new methods as well as a combination o...

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Detalles Bibliográficos
Autores principales: Battke, Florian, Symons, Stephan, Nieselt, Kay
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848234/
https://www.ncbi.nlm.nih.gov/pubmed/20214778
http://dx.doi.org/10.1186/1471-2105-11-121
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author Battke, Florian
Symons, Stephan
Nieselt, Kay
author_facet Battke, Florian
Symons, Stephan
Nieselt, Kay
author_sort Battke, Florian
collection PubMed
description BACKGROUND: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the generated data makes visual data exploration ever more important. Fast deployment of new methods as well as a combination of predefined, easy to apply methods with programmer's access to the data are important requirements for any analysis framework. Mayday is an open source platform with emphasis on visual data exploration and analysis. Many built-in methods for clustering, machine learning and classification are provided for dissecting complex datasets. Plugins can easily be written to extend Mayday's functionality in a large number of ways. As Java program, Mayday is platform-independent and can be used as Java WebStart application without any installation. Mayday can import data from several file formats, database connectivity is included for efficient data organization. Numerous interactive visualization tools, including box plots, profile plots, principal component plots and a heatmap are available, can be enhanced with metadata and exported as publication quality vector files. RESULTS: We have rewritten large parts of Mayday's core to make it more efficient and ready for future developments. Among the large number of new plugins are an automated processing framework, dynamic filtering, new and efficient clustering methods, a machine learning module and database connectivity. Extensive manual data analysis can be done using an inbuilt R terminal and an integrated SQL querying interface. Our visualization framework has become more powerful, new plot types have been added and existing plots improved. CONCLUSIONS: We present a major extension of Mayday, a very versatile open-source framework for efficient micro array data analysis designed for biologists and bioinformaticians. Most everyday tasks are already covered. The large number of available plugins as well as the extension possibilities using compiled plugins and ad-hoc scripting allow for the rapid adaption of Mayday also to very specialized data exploration. Mayday is available at http://microarray-analysis.org.
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spelling pubmed-28482342010-04-01 Mayday - integrative analytics for expression data Battke, Florian Symons, Stephan Nieselt, Kay BMC Bioinformatics Software BACKGROUND: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the generated data makes visual data exploration ever more important. Fast deployment of new methods as well as a combination of predefined, easy to apply methods with programmer's access to the data are important requirements for any analysis framework. Mayday is an open source platform with emphasis on visual data exploration and analysis. Many built-in methods for clustering, machine learning and classification are provided for dissecting complex datasets. Plugins can easily be written to extend Mayday's functionality in a large number of ways. As Java program, Mayday is platform-independent and can be used as Java WebStart application without any installation. Mayday can import data from several file formats, database connectivity is included for efficient data organization. Numerous interactive visualization tools, including box plots, profile plots, principal component plots and a heatmap are available, can be enhanced with metadata and exported as publication quality vector files. RESULTS: We have rewritten large parts of Mayday's core to make it more efficient and ready for future developments. Among the large number of new plugins are an automated processing framework, dynamic filtering, new and efficient clustering methods, a machine learning module and database connectivity. Extensive manual data analysis can be done using an inbuilt R terminal and an integrated SQL querying interface. Our visualization framework has become more powerful, new plot types have been added and existing plots improved. CONCLUSIONS: We present a major extension of Mayday, a very versatile open-source framework for efficient micro array data analysis designed for biologists and bioinformaticians. Most everyday tasks are already covered. The large number of available plugins as well as the extension possibilities using compiled plugins and ad-hoc scripting allow for the rapid adaption of Mayday also to very specialized data exploration. Mayday is available at http://microarray-analysis.org. BioMed Central 2010-03-09 /pmc/articles/PMC2848234/ /pubmed/20214778 http://dx.doi.org/10.1186/1471-2105-11-121 Text en Copyright ©2010 Battke et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Battke, Florian
Symons, Stephan
Nieselt, Kay
Mayday - integrative analytics for expression data
title Mayday - integrative analytics for expression data
title_full Mayday - integrative analytics for expression data
title_fullStr Mayday - integrative analytics for expression data
title_full_unstemmed Mayday - integrative analytics for expression data
title_short Mayday - integrative analytics for expression data
title_sort mayday - integrative analytics for expression data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848234/
https://www.ncbi.nlm.nih.gov/pubmed/20214778
http://dx.doi.org/10.1186/1471-2105-11-121
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