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MSCC Applications Support
Materials and Computational Chemistry applications on HPC platform
...These are the set of codes (software) developed by the investigators to perform the computations to study the properties of atoms, molecules, clusters, alloys, bio-molecules, and composite materials using high-performance computing (HPC). For more information on the softwares developed under MSCC please go to: https://sourceforge.net/p/mscc-applications-nsm/wiki/ To download the versions of the MSCC softwares installed on NSM HPC systems please go to: https://github.com/mscc07/mscc To download the test input dataset please go to: https://github.com/mscc07/mscc-testinput For training material please go to: http://www.youtube.com/@mscctraining -
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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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LP CSIC/UAB Apps and Code
Software and Code from Laboratori de Proteòmica CSIC/UAB
Software, Code and Documents from Laboratori de Proteòmica CSIC/UAB ( LP-CSIC/UAB: http://proteomica.uab.cat ) -
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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 -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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qmol
A simple molecular weight calculator
...CH3(CH2)2OH) and get its molecular weight (60.0959 g/mol) and its elemental composition (C3H8O: C 59.96; H 13.42; O 26.62 %). See the features list below for more details or consult the wiki page: https://sourceforge.net/p/qmol/wiki/Home/. For Windows binary and source code see the files section: https://sourceforge.net/projects/qmol/files/ Binary packages (rpm/deb) for openSUSE Leap 15.2-42.2, xUbuntu 20.10-19.10, 17.04, Fedora 33, CentOS 8, Scientific Linux 7, and Debian 10.0-8.0 can be found at: http://download.opensuse.org/repositories/home:/lineinthesand/ -
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OpenGrowth
OpenGrowth is a program which constructs de novo ligands for proteins.
OpenGrowth is a research program which grows new ligands in proteins by connecting small organic fragments. The details can be found in the original publication "OpenGrowth: an automated and rational algorithm for finding new protein ligands" (J. Med. Chem., http://dx.doi.org/10.1021/acs.jmedchem.5b00886). To use OpenGrowth, you will need OpenGrowth_1.0.zip and Resources_1.0.2.zip that can be found by clicking on the Files menu in the horizontal bar at the top (https://sourceforge.net/projects/opengrowth/files). OpenGrowthGUI, FOG2.0, and the 3Mer-Screen stand-alone can be found in OpenGrowth_1.0.zip. ... -
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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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Visualization of Protein-Ligand Graphs
Compute protein graphs. Moved to https://github.com/MolBIFFM/PTGLtools
NOTE: Project moved to https://github.com/MolBIFFM/PTGLtools. The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/ -
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orbkit (Moved to Github)
A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum
...If you use orbkit in your work, please cite it as follows: Gunter Hermann, Vincent Pohl, Jean Christophe Tremblay, Beate Paulus, Hans-Christian Hege, and Axel Schild, "ORBKIT: A Modular Python Toolbox for Cross-Platform Postprocessing of Quantum Chemical Wavefunction Data", J. Comput. Chem. 2016, DOI: 10.1002/jcc.24358. orbkit's documentation can be found at http://orbkit.github.io/ -
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...A novel particle tracking method with individual particle size measurement and its application to ordering in glassy hard sphere colloids. Soft Matter 9, 1447–1457 (2013). https://dx.doi.org/10.1039/C2SM27107A (http://arxiv.org/pdf/1301.7237.pdf)
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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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