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#1 |
Member
Location: Scotland Join Date: Feb 2014
Posts: 27
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Dear All,
I am using trinity for transcriptomics assembly. I have few queries:- 1) have two condition(Control and Treated) and each condition has 4 replicates. so if I merge these .fq files together, how the generated assembly from this merged .fq file would be better than the assembly generated from single(using only one replicate) sample? 2) Do I need to remove duplicates from individual fastq file before merging or after merging them together? 3) I saw there is a script "fasta_remove_duplicates" in the trinity folder. So is there any chance that "In-silico-normalization" in trinity take care of these duplicate reads? I would appreciate any explanations. |
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#2 |
Member
Location: Guangzhou China Join Date: Aug 2013
Posts: 82
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I don't have a direct answer to this, but I think the following links might help you understand what the "In-silico-normalization" is doing :
[What does Trinity's In Silico normalization do?] http://ivory.idyll.org/blog/trinity-...normalize.html [What is digital normalization, anyway?] http://ivory.idyll.org/blog/what-is-diginorm.html |
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#3 |
Member
Location: Scotland Join Date: Feb 2014
Posts: 27
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Thanks yueluo,
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Tags |
de-novo assembly, trinity, trinity assembly |
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