Unconfigured Ad

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

    Combining RNA-Seq FASTQ files for coverage issues

    Hi:

    As a pilot experiment I ordered RNA-Seq on following plan:

    3 different conditions
    1 sample per condition.
    No replicates.

    I had 50M reads coverage for each sample 100bp PE.

    Second time, I went with 4 replicates. However I have a problem now with coverage:

    50bp PE reads

    25M coverage for every replicate sample. As there was some space on flow-cell, seq lab ran same libraries on extra lane.

    That extra lane also gave 25M coverage.

    I was asked to combine FASTq files from two lanes into one FASTQ file suggesting it will make up to 50M reads. It does not make sense to me.

    Is that a common practice? what experts suggest here?

    Thanks
    Adrian
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    That's fine, presuming that the libraries run on the two lanes were the same (i.e., a separate library wasn't made for the additional lane). Combining technical replicates is normally OK.

    Comment

    • Jeremy
      Senior Member
      • Nov 2009
      • 190

      #3
      The problem with a large difference in read count between samples is that the high read count sample will find low expression genes and the low read count sample will not find those genes which can result in false positives.

      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, 06-26-2026, 11:10 AM
      0 responses
      12 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      48 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-09-2026, 11:58 AM
      0 responses
      107 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-05-2026, 10:09 AM
      0 responses
      125 views
      0 reactions
      Last Post SEQadmin2  
      Working...