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  • ecSeq Bioinformatics
    Senior Member
    • May 2012
    • 500

    #1

    Whole Exome analysis on a 1500 € standard PC, is that possible?

    Whole-Exome Analysis on a Mainstream Desktop PC
    We are regularly asked what kind of computer is needed to analyze Whole Exome data. We have tested it for you!



    Analysing NGS data usually is the domain of power compute servers or High-Performance Clusters, as it typically has massive volume and requires a lot of data crunching. However, the power of available CPUs is increasing, and now there are faster processors with more cores available on the market at competitive prices. This applies not only to the sector of the server “workhorses” but also to the sector of “standard” Desktop PCs. This sector is characterized by commodity hardware that is produced in high volumes and can be bought at affordable prices. While this kind of PC used to have just a single core, it is today possible to buy Desktop CPUs with as many as 16 cores.

    Given the price premium that is necessary to enter the high-performance server sector, the question arises: why not use commodity hardware for NGS data analysis? So we started an experiment: how feasible is it to do a resource-intensive whole-exome sequencing (WES) analysis on a modern Desktop PC.

    read more
    ecSeq Bioinformatics is Europe’s leading provider of hands-on bioinformatics workshops and professional data analysis in the field of Next-Generation Sequencing (NGS).

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  • kinpict.com
    Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
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  • SEQadmin2
    16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
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    NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...
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