Open Source Python Bio-Informatics Software

The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining.

BioMa is a specimen based Biodiversity database Manager. It is designed to store, organize, and manipulate biodiversity-related scientific data, either for the purposes of museums, scientific collections, or research projects.

The Comparative Toxicogenomics Database (under development) will be a publicly-available, web-based database of genes and proteins of human toxicological significance. It is being developed using an Oracle 9i database, Tomcat, and Python.

DIY Genomics is an open source bioinformatics consortium intended to bring a collection of tools and libraries into the hands of small scale genomics labs for the process of sequence assembly and annotation. Projects include DIYA, MGAP, CRISPR, and DIYGV

Tools for comparative sequence analysis. Includes FamilyRelations (GUI) and a C++ toolkit/Python wrapper for doing fixed-width-window analyses.

GEPETTO (GEne PrioriTization ExTended TOol) is an original open-source framework, distributed under the LGPL license, for gene selection and prioritization on a desktop computer that ensures confidentiality of personal data. It takes advantage of the data integration capabilities in the SM2PH-Central Framework(KD4v,MSV3d,BIRD,..), combined with in-house developed gene prioritization methods. It currently incorporates six prioritization modules, based on gene sequence, protein-protein interactions, gene expression, disease-causing probabilities, genomic context). GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com

MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system

A library and associated applications for searching for patterns in protein structures and measuring geometric parameters.

The WISDOM project is a Grid based production environment used to deploy bio-informatics large scale applications.

Wattos is a collection of mostly Java programs for Structural Biology and NMR Spectroscopy. It's programs analyze, annotate, parse, archive, and disseminate experimental NMR data deposited by authors world wide into the PDB and BMRB.

A Java software for 3D visualization of graphs/networks. It implements many graph layout algorithms (such as force-directed methods), graph generators (such as scale-free networks) and graph modifiers. Most functions can be accessed through its GUI.

This collection of tools forms the basis of a pipeline for the complete enumeration of the number of solutions present in a model that maximizes a single objective function.

Microarray Gene Expression Database Group and OMG Gene Expression Standard (MAGE)

openSputnik is a robust distributed platform for massive scale precalculation of genetic and genomic data using contemporary bioinformatics methods. Annotated DNA, RNA and protein sequences are stored as binary objects in a variery of relational database

vipR is a program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms. Information on this and other projects can be found on: http://www.altmann.eu