Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • shiningway
    Junior Member
    • Mar 2009
    • 7

    #1

    pacbioToCA failed

    I’m trying to use pacbioToCa to correct the pacbio reads with some 90bp pair end Illumina reads. This a 11Mb bacterial genome. It failed at the overlap.sh step. There were 49 overlap.sh processes and only 4 of them generated output files. I'm using a stand alone Linux machine with 8 core and 16GB memory.

    Some out files in the 0-overlaptrim-overlap directory show this kind of err:
    ~/0-overlaptrim-overlap/overlap.sh: line 61: 9271 Killed
    $bin/overlapInCore -G --hashbits 24 --hashload 0.75 -t 2 $opt
    -k 10 -k /data1/PacBioClip30x/0-mercounts/asm.nmers.obt.fasta -o /data1/PacBioClip30x/0-overlaptrim-overlap/$bat/$job.ovb.WORKING.gz -H 1-1 -R 1-1 /data1/PacBioClip30x/asm.gkpStore

    Some other out files in the same directory show memory issue:
    Could not malloc memory (3623878656 bytes)
    overlapInCore: AS_UTL_alloc.C:73: void* safe_malloc(size_t): Assertion `p != __null' failed.


    The spec file I used is the following. Could you tell me what I can add/modify to run pacbioToCA? Thanks a lot for any help.

    # original asm settings
    utgErrorRate = 0.25
    utgErrorLimit = 6.5

    cnsErrorRate = 0.25
    cgwErrorRate = 0.25
    ovlErrorRate = 0.25

    #merSize=14

    merylMemory = 128000
    merylThreads = 16

    ovlStoreMemory = 8192

    # grid info
    useGrid = 0
    scriptOnGrid = 0
    frgCorrOnGrid = 0
    ovlCorrOnGrid = 0

    ovlHashBits = 24
    ovlThreads = 2
    ovlHashBlockLength = 20000000
    ovlRefBlockSize = 50000000

    frgCorrThreads = 2
    frgCorrBatchSize = 100000

    ovlCorrBatchSize = 100000

    ovlConcurrency = 6
    cnsConcurrency = 16
    frgCorrConcurrency = 8
    ovlCorrConcurrency = 16
    cnsConcurrency = 16

    #shortReads
    frgMinLen = 65 # smaller than your read length
    ovlMinLen = 48 # about 75% of your frgMinLen
    merSize = 10
  • jbingham
    Member
    • Jul 2011
    • 24

    #2
    From the pacBioToCA wiki page:

    "If you have Illumina sequences longer than 64bp but shorter than 100bp, have to specify the

    -shortReads

    option to the pipeline"

    Not sure if that's the issue, or part of it. pacBioToCA works best with reads at least 100 bp long.

    Also, if you have enough PacBio coverage, you can check out HGAP. This is how PacBio has gotten single contig assemblies with bacteria. It gets better assemblies without using the Illumina reads at all -- provided you have the coverage.

    https://github.com/PacificBioscience...-Process-(HGAP)

    Comment

    • shiningway
      Junior Member
      • Mar 2009
      • 7

      #3
      Originally posted by jbingham View Post
      From the pacBioToCA wiki page:

      "If you have Illumina sequences longer than 64bp but shorter than 100bp, have to specify the

      -shortReads

      option to the pipeline"
      Thanks. I looked at that too. And I put '-shortReads' in pacbio.spec file. But it did not work. runCA does not recognize -shortReads option.

      Is HGAP part of pacbio's smrtanalysis-1.4.0? I'm trying that.

      Comment

      • lhon
        Junior Member
        • Dec 2011
        • 5

        #4
        runCA should only be used after error correction to assemble corrected reads. The -shortreads option is part of pacBioToCA.

        HGAP is also part of SMRT Analysis 1.4, and details around that implementation is documented here:

        GitHub is where people build software. More than 225 million people use GitHub to discover, fork, and contribute to over 800 million projects.

        Comment

        Latest Articles

        Collapse

        • kinpict.com
          Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
          by kinpict.com
          The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.
          Today, 06:37 PM
        • SEQadmin2
          16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
          by SEQadmin2





          NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...
          10-30-2026, 06:46 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 11-12-2026, 07:59 AM
        0 responses
        27 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-05-2026, 09:25 AM
        0 responses
        35 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-03-2026, 11:54 AM
        2 responses
        56 views
        0 reactions
        Last Post kinpict.com  
        Started by SEQadmin2, 10-28-2026, 09:57 AM
        0 responses
        175 views
        0 reactions
        Last Post SEQadmin2  
        Working...