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  • plumb
    Member
    • Sep 2009
    • 15

    454 metagenmic data assembly

    Our data is 454 pyrosequencing metagenomic data (not 16s rRNA). We need to assembly them together for metagenomic study. Some people suggest I should try the same way as Transcript assembly instead of genome assembly because the gene does not occur uniformly across genomes. What's your suggestions.

    We have newbler, velvet, mira available. Which assembler work the best according to your experience for metagenomic data assembly?
  • gridbird
    Member
    • Oct 2010
    • 16

    #2
    For 454 pyrosequencing metagenomic data, you should use newbler.

    Comment

    • raw937
      Member
      • Aug 2010
      • 18

      #3
      Metagenomic assembly?

      Newbler is super slow!!

      Mira, isn't great if you barcoded your samples...

      I would try Celera or the NEW META-velvet...

      Comment

      • gridbird
        Member
        • Oct 2010
        • 16

        #4
        Newbler is super slow if you can not use correct parameters.
        for example, "-large" for higher abundance data.

        Comment

        • raw937
          Member
          • Aug 2010
          • 18

          #5
          It depends on the read length!
          Newbler is a good starting point...

          IS it MDA amplified?

          I use meta-velvet for the short reads under 100 bp,
          CAP3 for the singlets from Newbler
          Mira is good for 454...But

          depends on what you want?

          Comment

          • plumb
            Member
            • Sep 2009
            • 15

            #6
            Originally posted by raw937 View Post
            It depends on the read length!
            Newbler is a good starting point...

            IS it MDA amplified?

            I use meta-velvet for the short reads under 100 bp,
            CAP3 for the singlets from Newbler
            Mira is good for 454...But

            depends on what you want?

            Do you mean you run newbler first, then run meta-velvet for the reads shorter than 100bp, and cap 3 for singlets. How do you combine them together?


            Also, do you have any suggestion about the metagenomic data cleaning specific to 454?

            Thank you

            Comment

            • raw937
              Member
              • Aug 2010
              • 18

              #7
              The first thing, I would do is try MG-RAST on your reads.
              PrinSeq-lite is a easy perl script to clean your sequences or you can have MG-RAST do it for you off you SFF files.

              Second,
              Newbler first for your reads.
              The singlets should be assembled with CAP3.

              Meta-velvet is best for illumina reads..

              Let me know what you need scripts etc?
              I have been in analysis hell trying to figure all this out, I GOT it so there is no point for you to have the same problems...

              LET ME KNOW
              RAW937

              Comment

              • plumb
                Member
                • Sep 2009
                • 15

                #8
                Hi Raw937

                After quality control, I have assembled the data by using newbler 2.5. 50% reads assembled into contigs. Then I tried cap3 by using default parameters, around 50% singletons assembled into contigs. However, those contigs are short. only 5% of them are longer than 900bp. What's your suggestion for the CAP3 parameter? Why you think we should use CAP3 here not other assembler? how about newbler with less stringent parameter? Have you thought of mapping assembly?

                Thank you very much!

                Comment

                • raw937
                  Member
                  • Aug 2010
                  • 18

                  #9
                  assembly

                  I do both newbler first to get the main contigs.
                  Then CAP3 for the singlets from 454.

                  You can map you CAP3 only contigs to you Newbler contigs to validate who is telling the truth.

                  I would get an MG-RAST account it will help you out alot to tell you who, what and how your community functions.

                  Its very fast and you can compare to other metas very easily.

                  I would use prinseq lite perl script to clean, then post your reads...

                  Your in Canada eh?

                  I am at UBC where are you?

                  Thanks
                  Raw937

                  Comment

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