SysLogics-PortalWiki: Difference between revisions
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= [[SysLogics]] Portal = | = [[SysLogics]] Portal = | ||
* The [[SysLogics]] Portal can be used to manage sequence collections with SAMS or genome datasets with GenDB. In addition to a consistent sequence annotation, the expression data generated in [[SysLogics]] can be uploaded and viewed with ArrayLIMS and subsequently analyzed with EMMA. Metabolomics datasets can be uploaded, organized and analyzed | * The [[SysLogics]] Portal can be used to manage sequence collections with SAMS or genome datasets with GenDB. In addition to a consistent sequence annotation, the expression data generated in [[SysLogics]] can be uploaded and viewed with ArrayLIMS and subsequently analyzed with EMMA. Metabolomics datasets can be uploaded, organized and analyzed using the [http://prose.cebitec.uni-bielefeld.de MeltDB] platform. Support for quantitative proteomics is available via [http://prose.cebitec.uni-bielefeld.de ProSE]. | ||
== Metabolomics and Proteomics == | == Metabolomics and Proteomics == | ||
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An overview of various conversion tools for these formats can be found [http://en.wikipedia.org/wiki/Mass_spectrometry_data_formats here] | An overview of various conversion tools for these formats can be found [http://en.wikipedia.org/wiki/Mass_spectrometry_data_formats here] | ||
== Transcriptomics == | |||
The recently released Emma2 system supports a variety of micro array data standards | |||
* [http://www.unidata.ucar.edu/netcdf netCDF (AIA/ANDI MS)] | |||
* [http://www.ncbi.nlm.nih.gov/pubmed/15529173 mzXML] | |||
* [http://www.ncbi.nlm.nih.gov/pubmed/17907277 mzData] | |||
Revision as of 11:02, 4 May 2009
SysLogics Portal
- The SysLogics Portal can be used to manage sequence collections with SAMS or genome datasets with GenDB. In addition to a consistent sequence annotation, the expression data generated in SysLogics can be uploaded and viewed with ArrayLIMS and subsequently analyzed with EMMA. Metabolomics datasets can be uploaded, organized and analyzed using the MeltDB platform. Support for quantitative proteomics is available via ProSE.
Metabolomics and Proteomics
The focus of the ProSE and MeltDB systems is the quantitative analysis and integration of functional genomics data. Both systems support open and standardized file formats from mass spectrometry based analysis.
An overview of various conversion tools for these formats can be found here
Transcriptomics
The recently released Emma2 system supports a variety of micro array data standards