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Damien Farrell edited this page Feb 22, 2017 · 1 revision

This section is mainly for a command line user to understand the output of running the gene or feature counting analysis. Results are saved as csv files. These are simply comma separated text files that can be opened in a spreadsheet or passed to another program.

Example

When you run the mirna workflow on a set of samples, a file called mirbase_mature_counts.csv is created in the folder. The column names are mostly self explanatory. Each sample has a column for the raw counts and normalized counts. mean_norm is the normalized mean and total_reads is the sum of all raw read counts.

name,db,sample1,sample2,sample3,sample1 norm,sample2 norm,sample3 norm,total_reads,mean_norm
bta-miR-486,mirbase-bta,1444,1070,5579,176722.56,47917.6,127569.57,239793,284398.062
bta-miR-122,mirbase-bta,693,10676,4,84812.14,478101.21,91.46,11409,149778.2825
bta-miR-423-5p,mirbase-bta,337,100,2008,41243.42,4478.28,45914.98,4270,62353.636
bta-miR-22-3p,mirbase-bta,315,1053,5655,38550.97,47156.29,129307.39,7462,45154.618
bta-miR-92a,mirbase-bta,332,891,2484,40631.5,39901.48,56799.21,5989,39094.122
bta-miR-192,mirbase-bta,659,656,1482,80651.08,29377.52,33887.45,2945,33098.118
bta-miR-21-5p,mirbase-bta,453,227,1311,55439.97,10165.7,29977.36,2054,27358.996
..
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