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Table of Contents

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To access this count table:

Go to the W:\training\rnaseq\runs\run3_RNAseq\results folder that contains the results from running the nfcore/rnaseq pipeline. The output folders from task 3 look like this:

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The count table can be found in the star_salmon folder. A list of files and folders in the star_salmon folder will look like this:

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a. First create a new folder in H:\workshop\RNAseq . Call it something suitable, such as ‘DE_analysis_workshop’

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The count table looks like this:

Code Block
gene_id 	gene_name	SRR20622172	SRR20622173	SRR20622174	SRR20622175	SRR20622176	SRR20622177	SRR20622178	SRR20622179	SRR20622180
ENSMUSG00000000001	Gnai3	7086	4470	2457.002	2389	6398	2744	2681	3961	4399
ENSMUSG00000000003	Pbsn	0	0	0	0	0	0	0	0	0
    CD49fmNGFRm_rep1        CD49fmNGFRm_rep2        CD49fmNGFRm_rep3        CD49fpNGFRp_rep1        CD49fpNGFRp_rep2        CD49fpNGFRp_rep3     MTEC_rep1       MTEC_rep2       MTEC_rep3
ENSMUSG00000000001      Gnai3   2460    2395    2749    2686    3972    4419    7095    4484    6414
ENSMUSG00000000003      Pbsn    0       0       0       0       0       0       0       0       0
ENSMUSG00000000028      Cdc45   43      57      55      79      87.999  89      1241    830     1041.999
ENSMUSG00000000031      H19     2       0       1       17.082  24      16.077  200     139     145.604
ENSMUSG00000000037      Scml2   8       8       16      23      29.001  29      69      57      67
ENSMUSG00000000049      Apoh    1       0       2       1       2       0       0       0       2ENSMUSG00000000028	Cdc45	1232.999	827	42	57	1036	55	78	88	89
ENSMUSG00000000031	H19	200	139	2	0	143.622	1	17.082	24	16.077
ENSMUSG00000000037	Scml2	70	57.001	8	8	66.999	16	23	27.999	29
ENSMUSG00000000049	Apoh	0	0	1	0	2	2	1	3	0
ENSMUSG00000000056	Narf	1933	1480	519	497	1730	539	365	458	536
ENSMUSG00000000058	Cav2	6008	3417	1347.001	1344	5482	1367	2669.001	4358	4365.832
ENSMUSG00000000078	Klf6	3809	2732	4413.001	3483.978	3559	4491	3209	3980	4626

d. In Excel, create a samples table. Open a blank Excel document and copy and paste the sample metadata below. This samples table needs 3 columns called ‘sample_name’, containing the sample names seen in the count table (column names), ‘sample_ID’, which is the (less messy) names you want to call the samples in this analysis workflow, and ‘group’, which contains the treatment groups each sample belongs to.

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Code Block
sample_name	sample_ID	group
CD49fmNGFRm_rep1SRR20622174	DC1	 Differentiated_cells
CD49fmNGFRm_rep2SRR20622175	DC2	Differentiated_cells
CD49fmNGFRm_rep3SRR20622177	DC3	Differentiated_cells
CD49fpNGFRp_rep1SRR20622178	BC1	Basal_cells
CD49fpNGFRp_rep2SRR20622179	BC2	Basal_cells
CD49fpNGFRp_rep3SRR20622180	BC3	Basal_cells
MTEC_rep1SRR20622172	mTEC1	Murine_tracheal_epithelial_cell
MTEC_rep2SRR20622173	mTEC2	Murine_tracheal_epithelial_cell
MTEC_rep3SRR20622176	mTEC3	Murine_tracheal_epithelial_cell

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