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  • Gangcai
    Member
    • Nov 2009
    • 30

    #1

    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
  • Zigster
    Jeremy Leipzig
    • May 2009
    • 117

    #2
    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.
    --
    Jeremy Leipzig
    Bioinformatics Programmer
    --
    My blog
    Twitter

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    • Zigster
      Jeremy Leipzig
      • May 2009
      • 117

      #3
      I am also wondering if this assembler is written in entirely in Java. Isn't that a Hadoop requirement?
      --
      Jeremy Leipzig
      Bioinformatics Programmer
      --
      My blog
      Twitter

      Comment

      • Gangcai
        Member
        • Nov 2009
        • 30

        #4
        I am also looking forward to the first release of Contrail....

        Comment

        • jjv5
          Junior Member
          • Mar 2009
          • 1

          #5
          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?

          Comment

          • seb567
            Senior Member
            • Jul 2008
            • 260

            #6
            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."

            Comment

            • FractalExpression
              Member
              • Feb 2011
              • 12

              #7
              has anyone gotten this up and running? does it read raw sequence files? so many questions!
              Petri Dish Talk

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              • samanta
                Senior Member
                • Feb 2010
                • 108

                #8
                Hi all,

                I managed to get contrail up and running.

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

                http://homolog.us

                Comment

                • johawashin49
                  Junior Member
                  • Nov 2011
                  • 1

                  #9
                  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

                  Comment

                  • samanta
                    Senior Member
                    • Feb 2010
                    • 108

                    #10
                    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.

                    http://homolog.us

                    Comment

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