Thank you Genomax : )
EDIT: I think mutliQC might be the answer: https://github.com/COMBINE-lab/salmon/issues/252#issuecomment-405442271
Hey ya'll,
I am using going from fastq.gz SRR files to, ultimately a gene expression matrix I can use within DeSeq2 and/or edgeR
I was guided by a great few people to use salmon. You know who you are : )
The snakemake/salmon pipeline is done, however I was wondering if QC is required prior to plugging the fastq's into salmon.
I was reading here: Adapter trimming before mapping with Salmon and it refers to the github for salmon, where QC is recommended.
And if QC is required to trim adapters/remove low quality reads, could someone share what tools are recommended for my current salmon/snakemake pipeline, please?
Here is a post I found which recommends multiQC, however multiQC looks like an all-in-one package.
Looking for appropriate software QC for bulk RNA seq.
Thank you in advance : )
2 answers
MultiQC acts as an aggregator of FastQC results so you need to run FastQC on all samples before MultiQC.
If you don't want to deal with installing stuff or building your own pipeline, you can use the nf-core RNA-seq pipeline, which is community curated/built and has a number of options. It uses salmon by default and runs about every QC tool you could ever need and has a nice multiQC summary at the end. It'll take care of adapter/quality trimming for you as well, via TrimGalore.
Thank you Jared.Andres07 : )
Bookmarked.
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