mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.
A collection of cheminformatics and machine-learning software written in C++ and Python.
NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit
The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java.
Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches.
Workbench for visualizing biological networks (regulatory, interaction, and metabolic). Can be used as a front-end for BNDB datawarehouses, but also as stand-alone tool.
Accurately predicts disease association of single nucleotide mutations
GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy.
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