I have a 51 single-end reads generated with MiSeq using NEBNext Multiplex Oligos for Illumina.
The data is obtained from from blood serum miRNA.
The sample sheet looks like this:
So it contain 3 files:
My question is, if I want to measure the miRNA expression,
should I combine all the 3 files above, then map them before computing the expression?
OR map each of the above 3 files individually and then average the expression?
The data is obtained from from blood serum miRNA.
The sample sheet looks like this:
Code:
IEMFileVersion,4 Investigator Name,FB Experiment Name,WT10104 Date,11/27/2013 Workflow,GenerateFASTQ Application,FASTQ Only Assay,TruSeq Small RNA Description, Chemistry,Default [Reads] 51 [Settings] ReverseComplement,0 [Data] Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,Sample_Project,Description HS130333-1,,,,RPI3,TTAGGC,, HS130333-2,,,,RPI4,TGACCA,, HS130333-3,,,,RPI5,ACAGTG,,
Code:
HS130333-1.fastq HS130333-2.fastq HS130333-3.fastq
should I combine all the 3 files above, then map them before computing the expression?
OR map each of the above 3 files individually and then average the expression?
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