5.2.1 Quantification
RNA-seq and nascent RNA-seq are two techniques used to investigate gene expression, but they differ in the type of RNA that is analyzed. Nascent RNA-seq is concerned with the examination of newly synthesized RNA molecules that are still connected to the template DNA strands from which they are being transcribed. Nascent RNA-seq quantification is a technique utilized to assess the quantity of newly synthesized RNA in a sample. It investigates nascent RNA molecules that are still connected to the template DNA strands from which they are being transcribed.
5.2.2 What it does?
The quantification module is a wrapper script to deal with nascent RNA analysis such as quantification, normalization, and visualization.
5.2.3 Features:
Reads count
bw file ->count file
Normalization
count file ->RPM files
count file ->RPKM files
5.2.4 Example
nasap feature_assign --output_root ./tmp --forward_bw ./tmp/bw/forward.bw --reverse_bw ./tmp/bw/reverse.bw --gtf /home/meta_data/annotation/Homo_sapiens.GRCh38.93.gtf
Parameters
parameter | description |
---|---|
--forward_bw (Required) | bowtie2 index file. |
--reverse_bw (Required) | Sample FASTQ(gz) file. |
--gtf (Required) | gtf file. |
--output_root (Optional) | Output root directory. |
--gtf:
Download specie gtf annotation file from ensembl database. Please note that the downloaded file should be unpacked first.
5.2.5 Results
Count files
File | Directory |
---|---|
protein coding count | csv/protein_coding_baseCount.csv |
protein coding gb count | csv/protein_coding_gb_count.csv |
protein coding pp count | csv/protein_coding_pp_count.csv |
lincRNA count | csv/lincRNA_baseCount.csv |
lincRNA gene body count | csv/lincRNA_gb_count.csv |
lincRNA proximal promoter count | csv/lincRNA_pp_count.csv |
Normalization files
File | Directory |
---|---|
protein coding rpkm | csv/protein_coding_rpkm.csv |
lincRNA rpkm | csv/lincRNA_rpkm.csv |
protein coding rpm | csv/protein_coding_rpm.csv |
lincRNA rpm | csv/lincRNA_rpm.csv |
Expressed genes pie plot
The plot shows statistical results for lincRNA and protein-coding RNA expressed genes.
Expressed RNA distribution plot
The relative abundance of different RNA molecules is evaluated in the plot.
Gene expression on different chromosomes
The distribution of expressed genes across chromosomes can be visualized using a chromosomal distribution plot.