Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Strange kmer patterns in FastQC results

    Hi,
    I need help in interpreting the fastQC results I have on my sample from paired-end ChIP-seq (151bp long from miseq)

    After removing adapter sequences using trim-galore, I am still seeing strange kmer patterns at the 3' end of reverse reads. Does anyone know where these might have originated from, or is it possibly some parameters I've not used in trim-galore?

    trim_galore --fastqc -a *adapter_sequence* --paired read_1.fastq read_2.fastq

    Thanks.
    Attached Files

  • #2
    Does it actually warn you that those abundancies are something to worry about? The plot is just just show the relative frequency to the most abundant kmer, so if that most abundant kmer is very low, it shouldn’t be an issue.

    Anyway, for chip-seq, I wouldn’t worry about this anyway, so long as your mappable fraction of the reads is within norms.

    Comment


    • #3
      Thanks,

      Actually, it did warn me of Obs/Exp Max being 58 for some. I was thinking of trimming the ends, perhaps at 121bp, but the results for forward strands seems fine. I may just go ahead with the alignment and see the mapping.

      Comment


      • #4
        Are you sure you are not just reading into the adaptor on the other end of the fragment?

        Comment


        • #5
          It seems that the adapter sequences had not been trimmed for some paired-end reads.

          Possible causes:
          1. Adapter sequences (one for read1 and the other for read2) were not specified properly;
          2. The sequencing error rate is significantly higher than expected (e=0.1 by default), especially in the 3' end regions of the reads.

          Suggestions:
          1. Double check whether the adapter sequences were specified correctly;
          2. Use a higher expected error rate (e.g. -e 0.25).

          BTW: I also suggest you try skewer for this task since it's dedicated to trimming adapters in paired-end reads.

          Originally posted by wonaya View Post
          Hi,
          I need help in interpreting the fastQC results I have on my sample from paired-end ChIP-seq (151bp long from miseq)

          After removing adapter sequences using trim-galore, I am still seeing strange kmer patterns at the 3' end of reverse reads. Does anyone know where these might have originated from, or is it possibly some parameters I've not used in trim-galore?

          trim_galore --fastqc -a *adapter_sequence* --paired read_1.fastq read_2.fastq

          Thanks.

          Comment


          • #6
            Maybe also try running "fastqc -k 10 ..." to increase the kmer-size fastqc is looking for. That way, you get a better picture of what sequence is at the end of your reads. You most probably have to increase the java heap space for fastqc by editing the file fastqc and setting the number after -Xmx to a higher value.

            chris

            Comment

            Latest Articles

            Collapse

            • seqadmin
              Recent Advances in Sequencing Analysis Tools
              by seqadmin


              The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
              05-06-2024, 07:48 AM
            • 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

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by seqadmin, Yesterday, 06:35 AM
            0 responses
            15 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 05-09-2024, 02:46 PM
            0 responses
            21 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 05-07-2024, 06:57 AM
            0 responses
            18 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 05-06-2024, 07:17 AM
            0 responses
            19 views
            0 likes
            Last Post seqadmin  
            Working...
            X