Search Results for "compiler python linux" - Page 3
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Showing 61 open source projects for "compiler python linux"
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MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
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An open source implementation of a protein threading program based on the energy functions and techniques originally introduced by Prospect.
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DIY Genomics is an open source bioinformatics consortium intended to bring a collection of tools and libraries into the hands of small scale genomics labs for the process of sequence assembly and annotation. Projects include DIYA, MGAP, CRISPR, and DIYGV
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Genetic programming environment to inference context free grammars base on positive and negative examples of language.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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Tools for comparative sequence analysis. Includes FamilyRelations (GUI) and a C++ toolkit/Python wrapper for doing fixed-width-window analyses.
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SureFit generates 3D mesh surfaces (in VTK and Caret formats) from 3D structural MRI volumes (in formats such as Analyze, AFNI, raw).
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Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org
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Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.
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DEODAS designs & analyzes consensus-degenerate oligonucleotide probes for biological research. DEODAS automatically designs and screens, probes against databases of known genes & stores the information in a searchable database.
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trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of...
