Showing 4 open source projects for "test"

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  • 1
    TVscript

    TVscript

    Exploration of the removal of count variable transcripts.

    > See TVscript wiki: https://sourceforge.net/p/tvscript/wiki/Home/ Related Software: 1. CStone: https://sourceforge.net/projects/cstone/ 2. CSReadGen: https://sourceforge.net/projects/csreadgen/ 3. CView: https://sourceforge.net/projects/cview/ 4. ChimSim: https://sourceforge.net/projects/chimsim/ 5. TVScript: (See wiki) 6. SeQuester: https://sourceforge.net/projects/sequester/ 7. TreeScope: https://sourceforge.net/projects/treescope/
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  • 2

    fast_count_multi

    Extremely fast NGS read counter

    Counts NGS read alignments against GTF annotations in a multithreaded and scalable fashion. Benchmark: 8 core 1M annotations for 2Gb sorted reads ~30 seconds compared to ~28 minutes for bedtools multicov. Files include: fast_count_multi - reports all counts and RPKM, multithreading support fast_count_deseq - reports gene counts in deseq compatible format, multithreading support fast_count - reports all counts with no multithreading support. usage ./fast_count_multi...
    Downloads: 0 This Week
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  • 3
    The Protein Similarity Network

    The Protein Similarity Network

    Human protein similarity network used to predict drug safety.

    ...We found that this network is particularly useful to distinguish approved from problematic drug-targets. Here you also find the complete set of programs and datasets we used for this purpose. Free to help further test and develop this project. Your help and expertise are much appreciated ! If you have any questions, please do not hesitate to contact us in the forum or by email. Please see the original manuscript: Lopes, TJS, et al. (2015) - "Identifying problematic drugs based on the characteristics of their targets" - Frontiers in Pharmacology doi: 10.3389/fphar.2015.00186
    Downloads: 0 This Week
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  • 4
    PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.
    Downloads: 0 This Week
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