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Thread | Thread Starter | Forum | Replies | Last Post |
FastQC, Kmer count, Trimmomatic: no success in trimming, still fail Kmer | skmotay | RNA Sequencing | 6 | 10-09-2014 07:24 AM |
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fastqc Kmer Interpretation Help | ifthenelse | Bioinformatics | 0 | 01-08-2014 06:18 AM |
FastQC GGGGG Kmer | Potjie | Bioinformatics | 3 | 07-29-2013 02:24 AM |
FastQC: odd kmer content | zshuhua | Introductions | 3 | 05-13-2013 08:36 PM |
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#1 |
Junior Member
Location: Uppsala Join Date: Apr 2009
Posts: 5
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Hi all,
I got the Illumina reads from a NGS company. It is a bird genome. The quality control running by fastQC seems very weird. Too many poly kmers as attached. Also, I have run the assembly, and the result was N50=150, no assembly at all! I wonder if the reads of the sequencing is problematic?? Thanks in advanced! Last edited by wb1016; 05-19-2017 at 06:12 AM. |
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#2 |
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Location: uk Join Date: Mar 2009
Posts: 667
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What do the other FastQC plots look like, the per base sequence quality, and the per base sequence content?
Have you done any adapter or quality trimming before doing the assembly? |
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#3 |
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Location: Uppsala Join Date: Apr 2009
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The Per base sequence content also seems problematic, and other plots are fine, especially the Sequence Quality is very good.
Have trimmed the adapters and the low-quality reads before assembly. Last edited by wb1016; 05-19-2017 at 06:09 AM. |
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#4 |
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Location: uk Join Date: Mar 2009
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That actually looks OK, as long as the %GC content is what you expect for that genome.
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#5 |
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Location: Uppsala Join Date: Apr 2009
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That's true. The GC content of the bird genome is always biased.
The only thing is the poly kmers, don't know if this was a problematic sequencing and it caused the failure of the assembly.. |
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#6 |
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Location: uk Join Date: Mar 2009
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Can you try reference-guided assembly with a related bird genome?
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#7 |
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Location: Uppsala Join Date: Apr 2009
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#8 |
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Location: uk Join Date: Mar 2009
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What assembler or assemblers have you used, and what coverage do you have? For some assemblers too high coverage also leads to problems.
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#9 |
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Location: East Coast USA Join Date: Feb 2008
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It is still strange that you have a lot of poly-N type reads. Have you looked to see what % those are of the total data and as individual (%A,%G etc). What did you use as "low quality" read trim cutoff?
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#10 |
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#11 |
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Location: uk Join Date: Mar 2009
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You could get a rough estimate, although it could turn out wrong. Use the genome sizes of the most closely related bird species with known genomes as a guide.
You said you had made several libraries of varying sizes. Do all the data have this problem, or is this just one data set that has this problem? |
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