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Examine your count table

The basis for the differential expression analysis is a count table of sequence reads mapped to defined gene regions per sample. There are a variety of methods to generate this count table, but for this exercise, we will be using the output from the Nextflow nfcore/rnaseq analysis you completed in the previous workshop sessions.

To access this count table:

Go to the W:\training\2024\rnaseq\run3_RNAseq\results folder that contains the results from running the nfcore/rnaseq pipeline. The output folders from task 3 look like this:

├── results
│   ├── fastqc
│   ├── multiqc
│   ├── pipeline_info
│   ├── star_salmon
│   └── trimgalore

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:

.
├── bigwig
├── CD49fmNGFRm_rep1
├── CD49fmNGFRm_rep1.markdup.sorted.bam
├── CD49fmNGFRm_rep1.markdup.sorted.bam.bai
├── CD49fmNGFRm_rep2
├── CD49fmNGFRm_rep2.markdup.sorted.bam
├── CD49fmNGFRm_rep2.markdup.sorted.bam.bai
├── CD49fmNGFRm_rep3
├── CD49fmNGFRm_rep3.markdup.sorted.bam
├── CD49fmNGFRm_rep3.markdup.sorted.bam.bai
├── CD49fpNGFRp_rep1
├── CD49fpNGFRp_rep1.markdup.sorted.bam
├── CD49fpNGFRp_rep1.markdup.sorted.bam.bai
├── CD49fpNGFRp_rep2
├── CD49fpNGFRp_rep2.markdup.sorted.bam
├── CD49fpNGFRp_rep2.markdup.sorted.bam.bai
├── CD49fpNGFRp_rep3
├── CD49fpNGFRp_rep3.markdup.sorted.bam
├── CD49fpNGFRp_rep3.markdup.sorted.bam.bai
├── deseq2_qc
├── dupradar
├── featurecounts
├── log
├── MTEC_rep1
├── MTEC_rep1.markdup.sorted.bam
├── MTEC_rep1.markdup.sorted.bam.bai
├── MTEC_rep2
├── MTEC_rep2.markdup.sorted.bam
├── MTEC_rep2.markdup.sorted.bam.bai
├── MTEC_rep3
├── MTEC_rep3.markdup.sorted.bam
├── MTEC_rep3.markdup.sorted.bam.bai
├── picard_metrics
├── qualimap
├── rseqc
├── salmon.merged.gene_counts_length_scaled.rds
├── salmon.merged.gene_counts_length_scaled.tsv
├── salmon.merged.gene_counts.rds
├── salmon.merged.gene_counts_scaled.rds
├── salmon.merged.gene_counts_scaled.tsv
├── salmon.merged.gene_counts.tsv  <---- We will use this feature counts file for DESeq2 expression analysis. 
├── salmon.merged.gene_tpm.tsv
├── salmon.merged.transcript_counts.rds
├── salmon.merged.transcript_counts.tsv
├── salmon.merged.transcript_tpm.tsv
├── salmon_tx2gene.tsv
├── samtools_stats
└── stringtie

The expression count file that we are interested is salmon.merged.gene_counts.tsv

head salmon.merged.gene_counts.tsv
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