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Thread | Thread Starter | Forum | Replies | Last Post |
BBDUK and BBMERGE, which goes first | chloe1005 | Bioinformatics | 1 | 04-12-2018 04:43 AM |
NexteraXT Bionalayzer - undertagmentation? | Meyana | Illumina/Solexa | 15 | 12-14-2017 08:23 PM |
bbduk.sh barcode filter | lamon | Bioinformatics | 8 | 11-18-2017 04:51 AM |
Removing contamination with BBDUK | glfrey | Bioinformatics | 2 | 10-02-2017 05:08 AM |
Trimmomatic vs bbduk.sh | mslider | Bioinformatics | 1 | 04-18-2017 11:10 AM |
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#1 |
Junior Member
Location: Gainesville, FL Join Date: May 2018
Posts: 2
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I'm using BBduk 38.00 for adaptor trimming on NexteraXT libraries multiplexed with i5 and i7 indices and sequenced on an NextSeq500 2x150:
Code:
bbduk.sh in=sample.fq.gz ref=adapters.fa bhist=bhist.txt k=23 hdist=1 ktrim='r' overwrite=t mink=8 tbe tbo ftm=5 It looks like I'm missing some forward primer or transposase sequence and, in fact, the most common bases are similar to the read 2 Nextera transposase sequence. Here is an example plot: https://photos.app.goo.gl/hH2UjJ9iErPbC5nP9 |
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#2 |
Senior Member
Location: East Coast USA Join Date: Feb 2008
Posts: 7,091
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Have you come across this blog post?
What you are observing is the "bias" observed similar to random primed libraries that is present in nextera libraries. |
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#3 |
Junior Member
Location: Gainesville, FL Join Date: May 2018
Posts: 2
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I knew that was an issue for random hexamer primed RNAseq libraries and I've heard that tagmentation sites were non-random. I usually work with Truseq/kapa data so this is my first time actually seeing how non-random things are.
Using BBduk to left trim with a hamming distance of 2 or 3 reduces, or at least masks the positional sequence bias. Glad to know the consensus is that it's not a problem. |
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#4 |
Senior Member
Location: East Coast USA Join Date: Feb 2008
Posts: 7,091
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You should align the data without doing any additional manipulations beyond removal of adapters. Data should align normally.
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Tags |
bbduk, gc divergence, nexteraxt |
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