Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • webappl
    Junior Member
    • Aug 2012
    • 5

    #1

    problem for bismark_methylation_extractor coverage output

    I run bismark (v0.10.0) to analyse a single end directional methylation sequence dataset with the following commands:

    (1) prepare genome file
    bismark_genome_preparation --path_to_bowtie /opt/bowtie/ --verbose ./genomes/calbicans
    (2) align with bismark
    bismark -n 1 -l 50 --path_to_bowtie /opt/bowtie ./genomes/calbicans/ calbican1.fastq
    (3) extract coverage report
    bismark_methylation_extractor -s --bedGraph --counts calbican1.fastq_bismark.sam

    The final calbican1.fastq_bismark.bismark.cov file reports very weird results. I list here the first 10 lines from the bismark.cov
    Contig3 67 67 0 0 4
    Contig3 153 153 0 0 2
    Contig3 154 154 0 0 126
    Contig3 171 171 0 0 2
    Contig3 172 172 0 0 301
    Contig3 280 280 0 0 1303
    Contig3 308 308 0 0 2
    Contig3 309 309 0 0 1380
    Contig3 323 323 0 0 3
    Contig3 324 324 0 0 1459

    As you can see, unexpected outpus appear at positions 154, 172, 309 and 324. The large unmethylation count at position 280 is also suspicious. Looks like bismark messed up strand/direction.

    What could be the problem occurring here?

    Thanks.
    Last edited by webappl; 10-24-2013, 04:34 AM.
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    It's not clear from that that bismark did anything wrong in counting things. Have you looked at the aligned reads in IGV? Without seeing the raw alignments, we sort of have to assume that those numbers are correct.

    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
    26 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
    55 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...