Search Results for "python mini project"

The Free DELTA Project is a free, open-source, software alternative for a generic system to the processing of taxonomic descriptions based on the DELTA (DEscription Language for TAxonomy) format.

CBFLIB is a library of ANSI-C functions providing a simple mechanism for accessing Crystallographic Binary Files (CBF files) and Image-supporting CIF (imgCIF) files. The CBFLIB API is loosely based on the CIFPARSE API for mmCIF files.

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.

PySCeS CBMPy is a new platform for constraint based modelling and analysis. It has been designed using principles developed in the PySCeS simulation software project: usability, flexibility and accessibility. CBMPy supports the latest standards for encoding CBM models encoding, SBML L3 FBC, COBRA as well as MIRIAM compliant RDF and custom annotations. Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently...

The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of...

!!! PTEROS DEVELOPMENT MOVED TO GITHUB !!! New project page: https://github.com/yesint/pteros New documentation page: https://yesint.github.io/pteros/ Pteros is the C++ library for custom molecular modeling and simulations codes designed for researchers, not for C++ gurus. Provides facilities for PDB, XTC and TRR files IO, powerful selections, geometry transformations, RMSD fitting and alignment, etc.

This project houses software to analyze data acquired from electrophysiology experiments. Currently, we have an Octave/MATLAB program to analyze electroneurogram traces of coupled oscillators, and a Perl library for the analysis of voltage trace data

openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.

The MeVisLab Community project provides add-on modules that extend the functionality of the MeVisLab software. The modules are provided and maintained by the MeVisLab developer community and can be compiled with the public MeVisLab SDK.

The Structural Proteomics Application Development Environment is a Python tool kit for developing and deploying bioinformatics applications. Handles graphics, analysis, and modeling of protein sequence and structure. Source and Win installers available. SPADE source code can be cloned from http://www.github.com/deaconjs/SPADE.

The PyCogent project is moving to GitHub. When completed, you will find us at http://github.com/pycogent/pycogent/. You can find the PyCogent website at http://www.pycogent.org.

Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.

Metmask has moved to github http://github.com/hredestig/metmask Metmask is a tool written in python for managing chemical identifiers for metabolomics experiments. It can incorporate identifiers from local textfiles, several online databases, query PubChem and record all found associations in a local sqlite database.

A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.

This project implements an algorithm for segmenting protein sequences into smaller meaningful blocks. The method is based on the pure statistical approach and it uses an analogy between proteins and natural language.

This Project moved to https://sourceforge.net/projects/synbiowave/ because the name GeneWave is a registered trademark... Please do not use this project anymore.

A web-based repository of plasmids and biobricks (see http://parts.mit.edu) plus related utility programs that support synthetic biology research. Note: This project is not updated any longer. A completely re-written and much better version of this web server can be found here: http://www.rotmic.org

pygr is a bioinformatics toolkit for sequence analysis and comparative genomics. pygr is highly scalable (e.g. one can easily query multi-genome alignments) and easy to use. Please see our new project page and wiki at http://code.google.com/p/pygr.

This project is A Mitochondrial OxydoReduction Simulation System. It consists of two linked projects: a program for displaying and analysing large biomolecular systems (Floral) and a multi-agent simulator for biomolecular oxydoreduction systems (AMORSS).

A project to develop an integrated and open bioinformatics framework and environment.

A dialect of XUL implementing most of Mozilla XUL's Fourth Draft. XML User Interface Language (XUL) is a method for easily creating GUI applications. Lux XUL supports Python scripting via Jython 2.1.

The purpose of this project is to make available a variety of tools written in Python.

ĄHola!, for "Hordes of Little Atoms," is a project to develop a lean, modular, scalable toolkit for massive simulations of particle (molecular) dynamics. It is written in C and Python to get the best balance between programmer and run time.

Python script for Recoord Project (http://www.ebi.ac.uk/msd-srv/docs/NMR/recoord/main.html). It uses Condor and Parallel Python.

Code repository for the Laboratory for Genome Bioinformatics at Texas A&M. The LGB project was initiated primarily to support biologists at Texas A&M needing help with bioinformatics in order to use new genomic technologies.