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Thread | Thread Starter | Forum | Replies | Last Post |
High duplication levels in FASTQC | flobpf | Bioinformatics | 3 | 11-27-2013 01:28 PM |
Concern about short fragment size and high duplication rate in paired-end ChIP-Seq | biznatch | Epigenetics | 9 | 08-13-2013 11:51 PM |
High percentage of N calls in the library | apredeus | Bioinformatics | 2 | 12-08-2012 04:27 PM |
high sequence duplication levels for Illumina RNA-Seq meta-transcriptomics | Marcus | RNA Sequencing | 12 | 07-20-2012 07:41 AM |
Very high duplication of sequences in ChIP-Seq sequencing results | OptimusBrien | Epigenetics | 8 | 09-15-2011 09:23 AM |
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#1 |
Member
Location: Heidelberg Join Date: Jul 2010
Posts: 10
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Dear all,
I know that this thread was already asked before, however I wonder if someone has a new/better explanation/suggestions. I am encountering a high duplication level in my chip-seq libraries. almost 99% of the reads are eliminated when considering only one read to map with Bowtie. I am starting my libraries with around 2/3 ng of IP materials. I am using the NEB kit for the library prep. The library concentration is not that high too. I am doing 18 cycles. I am multiplexing 10 samples at a time. Inputs sequencing seems better with around 40% of duplication. Any suggestion is the most welcome, Best, |
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#2 |
Member
Location: Montpellier (France) Join Date: May 2008
Posts: 93
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You can try to size select after the PCR enrichment rather than before. It tends to increase the diversity in the final libraries.
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#3 |
Member
Location: Heidelberg Join Date: Jul 2010
Posts: 10
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Dear Huguesparri,
Many thanks for your reply, Indeed, I will try now either 1) avoiding completely the first size selection and put everything into the PCR or 2) making a really big size selection first (i.e 200-800 bp) and go with that to the PCR. I think that I will go for the second option. I believe that in both cases this will help to increase the PCR complexity and get better results (less duplication). PS: Also I will also try to start with more materials at the beginning, Best |
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