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  • jts
    replied
    Have you considered using abyss?

    Widespread adoption of massively parallel deoxyribonucleic acid (DNA) sequencing instruments has prompted the recent development of de novo short read assembly algorithms. A common shortcoming of the available tools is their inability to efficiently assemble vast amounts of data generated from large …

    Leave a comment:


  • jvhaarst
    replied
    I'm in the process of doing just that (1GB genome done with Illumina data), I'll post my results.
    I'll first have a go with SOAPdenovo, see where that leads me.

    Leave a comment:


  • francesco.vezzi
    replied
    Originally posted by bioinfosm View Post
    1gb + genome, 100gb + sequence data (solexa)

    What are people's thoughts for de novo assembly? RAM being the limiting issue, and of course the speed and accuracy if less of RAM is used

    and there are a lot of deNovo assembly tools which I was unfortunately not able to follow .. so your feedback is very welcome.

    thanks
    The best de novo assembly tool is velvet but also euler-sr gives good performances. I think is quite hard assembly a so large amount of data, I think you are oblige to divide it into several sets and assembly independently and then try to combine the results together

    Leave a comment:


  • bioinfosm
    started a topic a GB genome with SE PE data

    a GB genome with SE PE data

    1gb + genome, 100gb + sequence data (solexa)

    What are people's thoughts for de novo assembly? RAM being the limiting issue, and of course the speed and accuracy if less of RAM is used

    and there are a lot of deNovo assembly tools which I was unfortunately not able to follow .. so your feedback is very welcome.

    thanks

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  • seqadmin
    Exploring the Dynamics of the Tumor Microenvironment
    by seqadmin




    The complexity of cancer is clearly demonstrated in the diverse ecosystem of the tumor microenvironment (TME). The TME is made up of numerous cell types and its development begins with the changes that happen during oncogenesis. “Genomic mutations, copy number changes, epigenetic alterations, and alternative gene expression occur to varying degrees within the affected tumor cells,” explained Andrea O’Hara, Ph.D., Strategic Technical Specialist at Azenta. “As...
    07-08-2024, 03:19 PM

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