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  • PratikC
    Member
    • Sep 2011
    • 16

    #16
    Guys, what do you say about cloud computing? If anyone has experience of clouds, please suggest which one is better in terms of cost and processing? We have got 10 Mbps dedicated line and we are going to do human exome sequencing not whole genome.

    If anyone knows good resources for tutorial/guide line to run NGS analysis on cluster and or cloud, please tell me because doing this IT related stuff only on my own is little bit difficult for me.
    Thanks in advance.

    Comment

    • GenoMax
      Senior Member
      • Feb 2008
      • 7142

      #17
      If you are going to use a cloud provider like amazon then remember that you are going to pay for getting data in to the cloud (and then getting the results out). If you are planning to store that data then figure that cost in as well. If your ISP charges you for the data based on traffic volume going over that dedicated line then the costs will add up rapidly.

      A 50 bp single end HiSeq Illumina sequence data file can be 20-30 GB (even if you multiplex, the file size per lane will add up to this). Depending on how many samples you are planning to run do the calculation of what you will pay to move (along with the time it till take to move the data) and store that data before considering cloud computing.

      There is a nice write-up about running a tool called "Galaxy" in the cloud here: http://wiki.g2.bx.psu.edu/Admin/Cloud. Galaxy has a nice suite of NGS tools built in.

      Originally posted by PratikC View Post
      Guys, what do you say about cloud computing? If anyone has experience of clouds, please suggest which one is better in terms of cost and processing? We have got 10 Mbps dedicated line and we are going to do human exome sequencing not whole genome.

      If anyone knows good resources for tutorial/guide line to run NGS analysis on cluster and or cloud, please tell me because doing this IT related stuff only on my own is little bit difficult for me.
      Thanks in advance.

      Comment

      • PratikC
        Member
        • Sep 2011
        • 16

        #18
        Thank you very much GenoMax, the link you gave is very useful.

        Comment

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