Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • 3' Adapter Trimming

    Hi everyone,

    I am using Maq for alignments and have found the 3' adapter trimming to be very informative about my overall run/sample prep quality. However, I am not clear about how this actually is working and have a couple questions...

    For instance, I have in one lane 13,145,392 quality filtered reads. Using the adapter trimming option I get 10,270,661 possible reads with adapter contamination, and a total of 2,949,120 paired reads mapping (3,404,692 total mapped). So this mapping number is greater than the number of reads NOT containing adapters 13,145,392-10,270,661 = 2,874,731.

    So, does Maq simply trim off any adapter and continue with alignment if the read is of sufficient length? Am I reading this correctly?

    Next, I have aligned the same exact reads to 3 different regions and for each I get 3 different counts for possible adapter contamination with everything else being equal. For the lane I mentioned above, I get a) 10,270,661 b) 10,473,317 and c) 10,299,171 counts for adapters but again these are the exact same reads, just a different region for alignment -- not huge differences, but differences nonetheless

    I whipped together a super simple perl script to count 3' adapters in my FASTQs and get nowhere near the same number..

    Code:
    $adapt = GATCGGAA;
    $count = 0;
    
    while (<>) {
      $line = $_;
      chomp $line;
      if ($line =~ m/^$adapt/) {
        $count++;
      }
    }
    print "\nThere are $count sequences with adapter!\n\n";
    Again, super simple, but with this for the aforementioned lane I get 6,615,038 reads containing adapter....

    Does anybody have some insight to any of these issues? Thanks everyone!

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...
    Today, 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, Today, 07:17 AM
0 responses
11 views
0 likes
Last Post seqadmin  
Started by seqadmin, 05-02-2024, 08:06 AM
0 responses
19 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-30-2024, 12:17 PM
0 responses
20 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-29-2024, 10:49 AM
0 responses
28 views
0 likes
Last Post seqadmin  
Working...
X