An open source framework for LC-MS based proteomics. OpenMS offers datastructures and algorithms for the processing of mass spectrometry data. The library is written in C++.
Databases to aid Metabolomics projects providing storage functionality for raw and preprocessed data, and integration with existing data analysis environments.
Pathomx is a tool for the analysis of metabolic pathway and associated visualisation of experimental data. Built on the database it provides an interactive map in which multiple pathways can be simultaneously visualised. Multiple annotations from the MetaCyc database are available including
... [More] synonyms, associated reactions and pathways and database unification links.
Metabolomics change data can be imported via simple CSV formats for visualisation on targeted pathways. Pathways can be mined and removed algorithmically to identify key regulated pathways within in a given dataset providing a simper route to metabolic function. [Less]
The BinBase Database system was created to provide an accurate and fast solution for the analysis of thousand of Chromatograms and to create a library of compounds. Better known as Bins.
The system is so designed that it can be easily extended and adapted for your specific problems.
You also
... [More] have the possibilities to use it in different runtime configurations like:
* using it as standalone system
* using it with a cluster
* using it with setupX as meta information provider
* using with a custom meta information provider
BinBase core part is now available in the svn. Websites are down to server error and we are working on it! [Less]
The open source ISA metadata tracking tools help to manage an increasingly diverse set of life science, environmental and biomedical experiments that employing one or a combination of technologies.
Built around the ‘Investigation’ (the project context), Study’ (a unit of research) and ‘Assay’
... [More] (analytical measurement) general-purpose Tabular format, the ISA tools helps you to provide rich description of the experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) so that the resulting data and discoveries are reproducible and reusable.
To find out more about ISA, see www.isa-tools.org [Less]
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