Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • adrian
    Member
    • Oct 2009
    • 90

    #1

    Identifying substitutions in a region of BAM file

    Hi group:

    I am interested in finding substitutions in a read downstream of a particular site.

    In detail:

    My target region - chr2: 1200-2000.
    CRISPR site: chr2:1220-1240

    First, find the reads that have 'NO substitution' in 1220-1240. Within those reads, that means if read A has no substitution at this site, I want to count the substitutions downstream of site which is between 1240 - 2000 in the read A. I want to tabulate what kind of substitutions between 1240-2000 (for example. A->T is found in 1200 reads..or G>A is found in 200 reads..etc..)

    Second, find reads that have 'substitution' in 1220-1240 and in those reads see if downstream of that read have any substitution. In case yes, then what type of substitution and how many. For example, if read B has a substitution in 1220-1240, then I want to count the # of substitutions between 1240-2000 in read B.

    Case where there is substitution..

    1220--------------------1240-------------------------------------------------|
    |------------A------------|-------------------------------A/G------G/T-------|
    |--------G-------AT------|---------------------A/T-----------------G/T------|


    Case where is no substitution...
    1220--------------------1240-------------------------------------------------|
    |-------------------------|-------------------------------G/A------------------|
    |-------------------------|-------------T/G------------------------------------|
    |-------------------------|---------------------A/T----------------------------|



    What I could do :
    using pysam, I could seperate the reads that have and does not substitution in the 1220-1240 into two files.

    How can I find identify and count substitutions in 1240-2000.. region..
    Any ideas..


    thanks
    Adrian

Latest Articles

Collapse

  • 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, detection...
    Yesterday, 06:46 AM
  • SEQadmin2
    Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
    by SEQadmin2



    Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

    Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
    ...
    10-14-2026, 09:55 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 10-28-2026, 09:57 AM
0 responses
29 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-28-2026, 09:51 AM
0 responses
20 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-22-2026, 11:13 AM
0 responses
71 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-22-2026, 10:48 AM
0 responses
48 views
0 reactions
Last Post SEQadmin2  
Working...