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  • samanta
    replied
    Effectiveness of which one are you asking about - cloud computing in general or hadoop?

    Cloud computing basically allows you to rent computer time from some company managing the hardware. To an user, it is nothing different from using a local supercomputing facility at the university or other place.

    Hadoop is a different paradigm and has been useful for large data. You can even set it locally and do not need cloud computing for it. I have few posts on hadoop for bioinformatics.

    Leave a comment:


  • johawashin49
    replied
    Such an amazing post! This is an interesting thread. I wonder how effective this cloud computing is.






    _____________________________________________________________________________________________________
    "Defect-free software does not exist."
    ~ Wietse Venema ~
    Hosting Dallas

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  • samanta
    replied
    Hi all,

    I managed to get contrail up and running.

    Here is how to run the program on the test case provided by Schatz.

    Leave a comment:


  • FractalExpression
    replied
    has anyone gotten this up and running? does it read raw sequence files? so many questions!

    Leave a comment:


  • seb567
    replied
    Originally posted by jjv5 View Post
    The source code has been released but it does not look like one could just run it. No documentation, no hints. Any word on when a usable version might be available?
    Meanwhile ->

    Michael Schatz (Cold Spring Harbor Laboratory)
    "Cloud Computing and the DNA Data Race: Theory and Practice."

    Leave a comment:


  • jjv5
    replied
    The source code has been released but it does not look like one could just run it. No documentation, no hints. Any word on when a usable version might be available?

    Leave a comment:


  • Gangcai
    replied
    I am also looking forward to the first release of Contrail....

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  • Zigster
    replied
    I am also wondering if this assembler is written in entirely in Java. Isn't that a Hadoop requirement?

    Leave a comment:


  • Zigster
    replied
    does anyone know when the first release of Contrail is scheduled?

    The quality of software coming from the Salzberg and Pop labs has been very high. Despite the inelegant name, I am really looking forward to seeing how Contrail compares with Velvet, Abyss, SOAPdenovo, etc..
    Last edited by Zigster; 01-11-2010, 10:34 AM.

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  • Assembly of Large Genomes using Cloud Computing by Contrail

    I have found a new software (the code source is not available yet) for large genomes assembly(http://sourceforge.net/projects/contrail-bio/). It relies on Hadoop to iteratively transform an on-disk representation of the assembly graph, allowing an in depth analysis even for large genomes, which can reduce the memory requirement. Contrails also use de Brujin graph strategy to do the short reads assembly.
    for more see the wiki: http://sourceforge.net/apps/mediawik...title=Contrail

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  • SEQadmin2
    Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
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    Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

    Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
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  • SEQadmin2
    New Genomics Technologies Take Aim at Long-Standing Limits
    by SEQadmin2


    Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

    We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
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    09-28-2026, 10:25 AM

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