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Showing 13 open source projects for "github"
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BioXTAS RAW
Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
...It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis (EFA) or the regularized alternating least squares (REGALS) methods. Active source code is now maintained on github: https://github.com/jbhopkins/bioxtasraw To install: Check the instructions available at: http://bioxtas-raw.readthedocs.io/en/latest/install.html and in the Files tab. User guides: RAW guides are available at: http://bioxtas-raw.readthedocs.io/ and in the Files tab. To contact us, see: https://bioxtas-raw.readthedocs.io/en/latest/help.html -
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Splicing Prediction Pipeline
Splicing Prediction Pipeline or SPiP
SPiP is a tool to predict the splice alteration of variant by integrate several prediction tool in a global pipeline. You can also download SPiP in zip format: https://sourceforge.net/projects/splicing-prediction-pipeline/files/SPiP_alone_v2_1.zip For Linux (GitHub): https://github.com/LBGC-CFB/SPiP If you have questions, please contact me to: r.leman@baclesse.unicancer.fr or raphael.leman@orange.fr v2.1 corrected (07/2021) : correction of score calculation v2.1 (06/2021): Most strigent on "Alter by complex event" v2.0 (04/2021): New SPiP with random forest modelization old change detailled in https://sourceforge.net/projects/splicing-prediction-pipeline/files/changeLogBeforev2.0.txt -
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FDMNES powered by sparse solvers
The sources and builds history of FDMNES project
The sources and builds history of FDMNES project (http://neel.cnrs.fr/spip.php?rubrique1007&lang=en ) with parallel sparse solvers moved to github: https://github.com/gudasergey/fdmnes -
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chemfiles
Modern library for chemistry file reading and writing
...Chemfiles provides an interface to access this information which is - unified: the same code will work with all the supported formats; - simple: the interface is easy to use and extensively documented. This is only a mirror of the main repository, development of chemfiles happens on Github, at https://github.com/chemfiles/chemfiles/ -
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Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
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!!! 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.
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TX-TL modeling toolbox
Modeling and analysis tools for the TX-TL cell-free expression system
...These tools include component models for simulating and analyzing biomolecular circuits, as well tools for composing circuits and creating more complex systems. NOTE: This project has been shifted to GitHub: https://github.com/BuildACell/txtlsim -
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Virtual Cell
Former home of the Virtual Cell platform (VCell), see http://vcell.org
This project and all source code has moved to GitHub, see https://github.com/virtualcell -
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orbkit (Moved to Github)
A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum
PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work,... -
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RDKit
Open-Source Cheminformatics and Machine Learning
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. -
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Reference implementation of the Systems Biology Graphical Notation: map exchange format and library handling import/export and validation. Resource of the libSBGN project have been migrated from SourceForge to GitHub. Latest changes can be found on GitHub now. The code repository can be found here now https://github.com/sbgn/libsbgn The files (releases) can be found here now https://github.com/sbgn/libsbgn/releases The bugs and features (issues) can be found here now https://github.com/sbgn/libsbgn/issues
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picard
A set of tools for working with high-throughput sequencing data
A set of tools (in Java) for working with next generation sequencing data in the SAM/BAM format. Note that development has moved to GitHub at https://github.com/broadinstitute/picard and support is available on the GATK forum at http://gatkforums.broadinstitute.org/categories/ask-the-team -
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NanoTrackJ
NanoTrackJ - Size characterization of freely diffusing nanoparticles
NanoTrackJ moved to GitHub! Please see: https://github.com/thorstenwagner/ij-nanotrackj or http://fiji.sc/NanoTrackJ
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