Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • bbmap error rate - subs - indels

    HI,
    I´m running a pacbio experiment where i´m testing a mock against a set of pacbio reads.
    I´m looking for the error rate , subs, and indwells. Exactly like the Pacbioalign output.

    Is it possible to get the same information from each sequence in the reference database (actually my reference database contains 10 16S sequences)?

    /usr/bin/java -ea -Xmx26g -cp bbmap/current align2.BBMapPacBio ref=mock_16s.fa in=reads_of_insert.fasta
    out=mapped.sam mhist=mhist.txt ehist=ehist.txt indelhist=indelhist.txt

    Match Rate: NA NA 97.3943% 41104155
    Error Rate: 99.5618% 28853 2.4870% 1049594
    Sub Rate: 97.2774% 28191 1.2914% 545011
    Del Rate: 87.9124% 25477 0.9838% 415211
    Ins Rate: 41.4700% 12018 0.2118% 89372
    N Rate: 30.0932% 8721 0.1188% 50127
    Last edited by danova; 10-14-2015, 11:19 PM.

  • #2
    If I am understanding correctly, you want the error rates broken down individually per reference sequence. BBMap can't do that directly. I think the best approach would be to split the data with Seal and then perform 10 mappings, like this:

    seal.sh in=reads_of_insert.fasta ref=mock_16s.fa ambig=all k=27 edist=1 pattern=out_%.fasta

    That will create one output file per reference sequence. Next, make one reference file per reference sequence:

    16S_1.fasta
    16S_2.fasta
    ...etc

    And map 10 times:

    /usr/bin/java -ea -Xmx26g -cp bbmap/current align2.BBMapPacBio ref=16S_1.fasta in=out_16S_1.fasta out=mapped_1.sam mhist=mhist_1.txt ehist=ehist_1.txt indelhist=indelhist_1.txt

    Comment


    • #3
      thanks Brian,
      Looks like a good approach.

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Essential Discoveries and Tools in Epitranscriptomics
        by seqadmin




        The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
        04-22-2024, 07:01 AM
      • seqadmin
        Current Approaches to Protein Sequencing
        by seqadmin


        Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
        04-04-2024, 04:25 PM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, Yesterday, 08:47 AM
      0 responses
      14 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-11-2024, 12:08 PM
      0 responses
      60 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 10:19 PM
      0 responses
      60 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 09:21 AM
      0 responses
      54 views
      0 likes
      Last Post seqadmin  
      Working...
      X