Search Results for "research" - Page 82
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Showing 2867 open source projects for "research"
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Powow is an open-source TCP packets exchange mesh. It allows many TCP clients to connect to a "Powow cloud" (several instances of Powow), to exchange data. Powow is a TCP socket server like Palabre or Oregano.
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ESML is an interchange technology that utilizes external metadata to allow applications to plug and play seamlessly with Earth Science specific datasets in heterogeneous formats.
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Python software package for 3D tracking of leg joints in walking insects. Published as Bender et al., PLoS ONE, 2010 (http://dx.doi.org/10.1371/journal.pone.0013617)
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nexml is an xml format that represents phylogenetic data (trees, character sequence alignments, sets of OTUs, substitution models). The format is inspired by the commonly used flat-file NEXUS format, but more robust and easier to process.
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PyOSG is a python wrapper for the OpenSceneGraph. Version number corresponds to the version of OpenSceneGraph that PyOSG should work with (e.g. PyOSG 2.8 should work with OpenSceneGraph 2.8.x). Still in early stages, so email mday299 if any problems!
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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.
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Rhea Genetic Engine is a highly versatile software engine used to solve ill-defined, abstract problems by employing a genetic pattern. It is easy to understand and use, yet provides advanced features for those who desire them.
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Interface to collect data from a Consort R305 unit via RS-232. It allows to record data from 2 units with a total of 4 channels. The graphical interface displays the value of the channels as graphs and saves them in a CSV file.
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APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.
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These scripts written in Python allow you to convert fasta files into multifasta file and vice versa.
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NOTE: We have moved the project to https://bitbucket.org/makokal/openprm/overview, all the code that is still in sf is not maintained anymore. please use the new code at the location given
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Ming, a handy searching engine implemented in pure python. With only 1 module file(user version) and no 3rd party API dependencies. Support fields, highlighting, probability, and so on... This will be your handy tool for your amazing minds.
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This project is aimed at providing useful thermodynamic tools for biochemists, including formation energy estimation of virtually every biochemical compound and metabolic pathway analysis and profiling.
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MAXIMUS is a genome assembly pipeline which takes the best out of multiple reference assemblies and de novo assembly. The benefits of this approach include better assembled repetitive regions, less gaps and higher accuracy for the resultant assembly.
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Pinkl is a library written to build flexible applications to control instruments connected to a computer using a GPIB or COM interface and take, store and plot measurements with these instruments.
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Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
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now here: https://github.com/plastex/plastex plasTeX is a Python-based LaTeX document processing framework. It gives DOM-like access to a LaTeX document, as well as the ability to generate mulitple output formats (e.g. HTML, DocBook, tBook, etc.).
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PyQwt = FAST and EASY data plotting for Numerical Python and PyQt. PyQwt is a Python wrapper for the Qwt C++ class library which extends the Qt framework with widgets to display and control data for scientific and engineering applications. Please note: We moved RCS, future releases, BUGS to https://github.com/PyQwt
