Mayday - integrative analytics for expression data |
| |
Authors: | Florian Battke Stephan Symons Kay Nieselt |
| |
Institution: | 1.Center for Bioinformatics Tübingen,University of Tübingen,Tübingen,Germany |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|