Showing 4 open source projects for "simple queue system"

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  • 1

    MOIRAI

    Simple Scientific Workflow System for CAGE Analysis

    Cap analysis of gene expression (CAGE) is a sequencing based technology to capture the 5’ ends of RNAs in a biological sample. After mapping, a CAGE peak on the genome indicates the position of an active transcriptional start site (TSS) and the number of reads correspond to its expression level. CAGE is prominently used in both the FANTOM and ENCODE project. MOIRAI is a compact yet flexible workflow system designed to carry out the main steps in data processing and analysis of CAGE data....
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  • 2
    ViralFusionSeq [VFS]

    ViralFusionSeq [VFS]

    Accurately discover viral integration events and fusion transcripts

    VFS was fullly tested under Ubuntu/Debian system. ** Announcement 1**: VFS is superior to Virus-Clip. https://sourceforge.net/projects/viralfusionseq/files/VFS.vs.Virus-Clip.pdf/download As of 2016, VFS is the only viral integration tool available at NIH HPC system. https://hpc.nih.gov/apps/ViralFusionSeq/ ViralFusionSeq (VFS) is a versatile high-throughput sequencing (HTS) tool for discovering viral integration events and reconstruct fusion transcripts at single-base resolution. ...
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  • 3
    q pipeline manager

    q pipeline manager

    q: integrated platform for pipeline configuration and management

    The q utility is a platform for creating and managing data analysis pipelines. It expands the value of your existing job scheduler - either Grid Engine or TORQUE PBS - through numerous functions that help you organize, submit, monitor, manage and share your informatics work. Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently...
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  • 4
    parastructure is a perl script collection to run the population genetics software STRUCTURE from Pritchard et al. 2000 (http://pritch.bsd.uchicago.edu/structure.html) in parallel on a cluster (beowulf type). Each run of K (the number of populations) is executed separately on each CPU of the cluster trough queue system based on PBS. A summary statistics table and distruct figures (Noah Rosenberg: http://www.stanford.edu/group/rosenberglab/distruct.html) are built at the end of the run. A patch for the structure (ran.c) is also provided in order to correct the generation of the seed number.
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