Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Alex8
    Member
    • Oct 2010
    • 10

    SOLiD denovo: contigs corrupted after conversion from double-encoding to nucleotide

    Hello.

    I use SOLiD de novo pipeline (http://solidsoftwaretools.com/gf/project/denovo/) to assemble bacterial genome.
    I use Mummerplot for proof-mapping the resulting contigs to reference genome. Double-encoded contigs (contigs.de) look OK. However, after they are converted to base-space by ASiD utility, they break apart into small pieces, see figures. Single contig is double-encoded, while multiple fragments are what it turns into in base-space.

    Anybody has a suggestion on how to cure this problem?

    PS: I tried older version of SOLiD pipeline (denovo_preprocessor_solid + velvet + denovo_postprocessor_solid + denovoadp) and the base-space contigs were uncorrupted. However, it is much slower, so I'd still like to fix the latest denovo tool.
    Attached Files
  • pepperoni
    Member
    • Oct 2011
    • 59

    #2
    Dear Alex8,
    did you solve the problem? I want to assemble color space with velvet and don't know how to do it.
    thanks

    Comment

    • Alex8
      Member
      • Oct 2010
      • 10

      #3
      Hi,
      I downloaded denovo2.2 version which seems to have the bug fixed.
      however, solid software tools site is retired now - if you don't find it anywhere else, can send you the distr.

      Comment

      • colindaven
        Senior Member
        • Oct 2008
        • 417

        #4
        I stumbled across SOPRA recently, which might be helpful for you guys.

        It contains the denovo scripts from Solid Software Tools as well.

        Comment

        • cement_head
          Senior Member
          • Mar 2012
          • 264

          #5
          CLC Genomics Workbench has a two week free trial...

          Comment

          • colindaven
            Senior Member
            • Oct 2008
            • 417

            #6
            I'm not convinced yet CLC is the best solution for de novo assembly of colour space reads. Sure, it's easy, fast and it maps reads back to contigs to attempt to eliminate indel/colour errors....
            but most contigs seemed were under 1000bp.

            It appears that the CS Velvet is capable of building longer contigs > 1000bp.

            (Solid 5500xl, 75bp single end reads)

            I can't quantify yet but will do when we get results back for a range of settings.

            Comment

            • pepperoni
              Member
              • Oct 2011
              • 59

              #7
              Are you using the base space fastq data provided by the 5500? or the color space csfasta? otherwise how are you being able to use Columbus? Since my data came from SOLiD 4 I don't have any base space data.
              thanks

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
                by SEQadmin2


                Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

                The systematic characterization of the human proteome has
                ...
                07-20-2026, 11:48 AM
              • SEQadmin2
                Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                by SEQadmin2



                Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                ...
                07-09-2026, 11:10 AM
              • SEQadmin2
                Cancer Drug Resistance: The Lingering Barrier to Rising Survival
                by SEQadmin2



                Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

                There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
                07-08-2026, 05:17 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              30 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-23-2026, 11:41 AM
              0 responses
              23 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-20-2026, 11:10 AM
              0 responses
              213 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-13-2026, 10:26 AM
              0 responses
              79 views
              0 reactions
              Last Post SEQadmin2  
              Working...