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pydaqtools provides a common interface to data-acquisition hardware for Python. Control analog/digital output or acquire analog/digital input for immediate analysis with Python for scientific, educational or engineering applications.
Simple Molecular Interaction Potential Generator in Python
Molecular Interaction Potential Generator
MIPGEN is a python program that will calculate Molecular Interaction Potential grids
over a given molecule, that could be either a protein or a small organic compound (drug).
The output will be a series of grids with DX format (*.dx) that the user will be able
to visualize using any Molecular visualization program like VMD, PyMol, Chimera...
For more information on dependencies and usage, please read the Documentation.
Users are welcome...
A set of python programs for forward modelling of marine notch formation, along with an pseduo-inverse model for obtaining relative sea level curves from notch data.
Open Source Particle Image Velocimetry and PIV Analysis
OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.
H-mito is a mitochondrial DNA haplogroup prediction tool based on the phylogenetic tree http://www.phylotree.org/. Ancillary scripts: mitoP.py to extract mutation lists and clustal-2-fasta.zip to join, align through clustalw and convert data.
Wizard-like software to run experimental procedures (at large). Each step of the procedure is a file (document, on-line form, checklist, video, program... ). Experimental data and documents are backuped together. NEW: templates of procedures
ECMWF parser is a software made in python (it has a version standalone and another python dependant) to work on the data provided by ECMWF. It uses WGRIB to convert binary data to ascii and operates over the last with several functions available.
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PocketAnalyzerPCA combines a geometric algorithm for detecting pockets in proteins with Principal Component Analysis and clustering. This enables visualization and analysis of pocket conformational distributions of large sets of protein structures.
VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.
pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.
A database and a web front end for physiologic data on animal feeding, developed with PostgreSQL and Django at NESCent (http://www.nescent.org) for Mammalian Feeding Working Group (http://www.feedexp.org).
Current development of the codebase is on Github at http://github.com/NESCent/feedingdb.
The Protein Geometry Database hosts the development code for a flexible database for searching protein geometry, as well as a library for accessing this data for protein modeling & refinement programs.
booggie brings object-oriented graph grammars into engineering - Based on the application of object-oriented graph grammars, engineering knowledge is formalized and becomes computable in order to solve design tasks.
GraphicalOSfp is a python application which aims to collect random data issued by remote systems in IP and TCP sequences. These data are then displayed in a 3D referencial to highlight an attractor of the random engine of the remote machine.
Methods and testing of methods for automatic analysis of in situ cyclic
voltammetry data.
This, at least initially, is the code from my masters thesis, which was
done as a contribution to a larger project called Aevum. Aevum is being
developed at t
This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.