Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • trim_galore - when to stop trimming?

    I've just used trim_galore (arguments below) to trim the adapter sequences off of fastq files from Illumina hiseq 4000 run TruSeq prep. Cutadapt seemed to work well, running it in the default mode to auto-detect adapters and remove them, as well as remove any bases with phred score < 5, but my fastQC reports for some files show that Illumina Single End PCR primer or TruSeq Adapter, Index 7, remain in certain samples (0.15 % and 0.53 %, respectively).

    Do I have to run cutadapt again and feed it these specific sequences to remove? I have many samples and searching through each report for specific adapters to remove in a second cutadapt run is not ideal.

    Was I not stringent enough in trimming?

    Do I need to get rid of the remaining contaminants to perform differential gene expression analysis?

    trim_galore --paired -q 5 -o /output/path/ --fastqc_args "--outdir /fastqc/output/path/" sample_R1.fastq.gz sample_R2.fastq.gz

  • #2
    I suggest including all Illumina adapters in the first pass, rather than trying to autodetect and then running a second pass to clean the stuff that was not removed. All standard Illumina adapters are contained in the file "bbmap/resources/adapters.fa" in the BBMap suite.

    Comment


    • #3
      Hi rvann,

      sorry for replying so late. For adapter trimming it is most important to capture and remove read through adapters which obviously worked fine. If FastQC still picks up certain indexed adapter you will most likely find that these are full-length adapter sequence (which are missing the A at the start) and are thus not removed during the adapter removal process. Full length adapter sequences won't align to your genome of interest anyway and are normally not a problem. Cheers, Felix

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Best Practices for Single-Cell Sequencing Analysis
        by seqadmin



        While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...
        06-06-2024, 07:15 AM
      • seqadmin
        Latest Developments in Precision Medicine
        by seqadmin



        Technological advances have led to drastic improvements in the field of precision medicine, enabling more personalized approaches to treatment. This article explores four leading groups that are overcoming many of the challenges of genomic profiling and precision medicine through their innovative platforms and technologies.

        Somatic Genomics
        “We have such a tremendous amount of genetic diversity that exists within each of us, and not just between us as individuals,”...
        05-24-2024, 01:16 PM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, 06-07-2024, 06:58 AM
      0 responses
      13 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 06-06-2024, 08:18 AM
      0 responses
      20 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 06-06-2024, 08:04 AM
      0 responses
      20 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 06-03-2024, 06:55 AM
      0 responses
      13 views
      0 likes
      Last Post seqadmin  
      Working...
      X