Showing 7 open source projects for "throughput"

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  • 1
    clusterProfiler

    clusterProfiler

    A universal enrichment tool for interpreting omics data

    clusterProfiler is an R/Bioconductor package that provides a unified workflow for functional enrichment analysis to interpret high-throughput omics results. It supports both over-representation analysis and gene set enrichment analysis, letting you work with unranked gene lists or ranked statistics from differential pipelines. The package connects to multiple knowledge bases—such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others—through a consistent interface so you can query different biological lenses without rewriting code. ...
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  • 2
    TensorBase

    TensorBase

    TensorBase is a new big data warehousing with modern efforts

    TensorBase hopes the open source not become a copy game. TensorBase has a clear-cut opposition to fork communities, repeat wheels, or hack traffic for so-called reputations (like Github stars). After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask...
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  • 3

    TSA_CRAFT

    Automatic command line tool for TSA data analysis

    DSF is a high-throughput platform of TSA assay to screen various conditions that affect protein stability. To facilitate TSA data analysis, we developed an automatic tool "TSA-CRAFT". TSA-CRAFT was developed by integrating PERL script and Gnuplot. PERL scripts manage the entire workflow and data processing procedures of TSA data analysis. On the other hand, Gnuplot takes over the curve fitting and result presentation works.
    Downloads: 1 This Week
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  • 4
    GlycoPAT

    GlycoPAT

    Comprehensive, open-source tool for glycoproteomics MS data analysis

    GlycoPAT is a modular, open-source MATLAB based toolbox for shotgun mass spectrometry based glycoproteomics data analysis. This program provides a novel platform for the streamlined analysis of traditional LC-MSn based high-throughput experimental data for the identification of site-specific N- and O-linked glycosylation on various proteins. More details are available at https://www.VirtualGlycome.org/glycopat Source code also available at https://github.com/kaichengub/GlycoPAT If you use this software please cite: Gang Liu, Kai Cheng, Chi Y. Lo, Jun Li, Jun Qu and Sriram Neelamegham. " A comprehensive, open-source platform for mass spectrometry based glycoproteomics data analysis", Molecular Cell Proteomics, 2017 Sep 8, in press. https://doi.org/10.1074/mcp.M117.068239
    Downloads: 2 This Week
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  • 5

    Bamformatics

    Toolkit and GUI for sequencing data analysis

    The Bamformatics project aims to provide a coherent and consistent approach to analysis of high-throughput sequencing data. Its toolkit includes, among others, programs to identify variants and to compute various types genomic tracks. It also provides a graphical user interface to facilitate general bioinformatic workflows. The project wiki contains further details.
    Downloads: 0 This Week
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  • 6

    eRNA

    A RNA data analysis tool

    eRNA: A RNA data analysis tool for high-throughput RNA sequencing experiments
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  • 7

    BriPy

    A BRIC-seq data analysis package written in Python.

    ...It employs metabolic labeling by BrU of newly synthesized RNAs to chase chronological decreases of BrU-labeled RNA (Pulse-chase labeling), followed by immunoprecipitation with antibody for BrU, construction of cRNA library for High-throughput sequencing and computational data analysis. -What is BriPy? BriPy package is a BRIC-seq data analysis tool written in Python. It can calculate RNA half-life for each transcript and draw graphs describing the kinetics of RNA decay. In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). ...
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