Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • sindrle
    Senior Member
    • Aug 2013
    • 266

    Analyze coverage on each chromosome

    Hi!
    We have sequenced up some single cells, but now I have to check the amount of rRNA/tRNA/chrM and how much coverage we actually have on known genes (per chromosome or something similar).

    How do you people usually do this? I have been playing around with Igvtools count etc. But I want hard data i.e. 60% chrM reads and X reads on chr1 etc.

    We only have 20 mill. reads per sample and only 8 samples. What is considered ok coverage with regards to genes we want to analyze (non-rRNA/tRNA/chrM)?


    Thanks!
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    Bedtools coverageBed should suffice. Search for threads on the forum that cover this with examples etc.

    Comment

    • sindrle
      Senior Member
      • Aug 2013
      • 266

      #3
      Oh, I just didnt use the correct search terms, thanks!

      I have also played around a bit with Seqmonk, but I didnt quite like it at first glance.. Maybe BEDtools is the way to go.

      This one is good:

      Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by SEQadmin2


        I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

        Here are nine questions we think about, in roughly the order they matter, before...
        06-18-2026, 07:11 AM
      • SEQadmin2
        From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
        by SEQadmin2


        Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


        The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
        ...
        06-02-2026, 10:05 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 05:37 AM
      0 responses
      6 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-26-2026, 11:10 AM
      0 responses
      16 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      51 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-09-2026, 11:58 AM
      0 responses
      110 views
      0 reactions
      Last Post SEQadmin2  
      Working...