Showing 3 open source projects for "throughput"

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  • 1
    FastQC

    FastQC

    A quality control analysis tool for high throughput sequencing data

    FastQC is a quality control analysis tool designed to spot potential problems in high throughput sequencing datasets. Its goal is to provide a simple way by which to check the quality of raw sequence data coming from high throughput sequencing pipelines. It does this by running a modular set of analyses on one or more raw sequence files in fastq or bam format. It then produces a report summarizing the results, and highlighting any areas where the library may appear unusual. ...
    Downloads: 36 This Week
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  • 2

    Network Analyzer

    Analyze the network carateristics like Delay, Jitter, Packet loss etc.

    ...(The receiving host is then required to echo all the packets back to the sender, which can be easily done via iptables rule under linux). Once the eched packets arrives back to the sender, the analyzer will calculate all the related statistics like, packet loss, jitter throughput etc... NOTE: in order to receive the echo packets you must configure the receiving host to echo the incoming packets. In the next release i will provide another java application that just echo on an UDP port.
    Downloads: 1 This Week
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  • 3

    colonyzer image analysis software

    Image analysis estimating cell density in arrayed microbial cultures

    ...Specialises in detection of extremely low cell densities. Forms part of the Quantitative Fitness Analysis (QFA) workflow: http://research.ncl.ac.uk/qfa/ Suitable for high-throughput, genome-wide analysis of culture libraries when combined with the following qfa R package: http://qfa.r-forge.r-project.org/ This is the version presented, used and demonstrated in the following manuscripts: Lawless et al. 2010 http://dx.doi.org/10.1186/1471-2105-11-287 Addinall et al. 2011 http://dx.doi.org/10.1371/journal.pgen.1001362 Chang et al. 2011 http://dx.doi.org/10.1534/g3.111.000216 Banks et al. 2012 http://dx.doi.org/10.3791/4018 Development has been moved to github, where Colonyzer has undergone several recent improvements, particuarly making installation easier and analysis faster: https://github.com/CnrLwlss/Colonyzer
    Downloads: 0 This Week
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