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Snakefile_fastqc_multiqc_cutadapt_kallisto_salmon_rat
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Snakefile_fastqc_multiqc_cutadapt_kallisto_salmon_rat
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### Importing glob wildcard
import glob
## Importing Configuration file
configfile: "config.yaml"
SAMPLE,=glob_wildcards("{sample}_R1_001.fastq.gz")
rule all:
input:
expand("{sample}_R1_001_fastqc.html",sample=SAMPLE),
"multiqc_report.html",
expand("{sample}_R1_001_trimmed.fastq.gz",sample=SAMPLE),
expand("{sample}_R1_001_trimmed_fastqc.html",sample=SAMPLE),
expand("kallisto.{sample}/abundance.tsv",sample=SAMPLE),
expand("salmon.{sample}/quant.sf",sample=SAMPLE)
### FastQC analysis
rule fastqc_analysis:
input:
R1= "{sample}_R1_001.fastq.gz",
R2= "{sample}_R2_001.fastq.gz"
output:
"{sample}_R1_001_fastqc.html",
"{sample}_R1_001_fastqc.zip",
"{sample}_R2_001_fastqc.html",
"{sample}_R2_001_fastqc.zip"
conda:
"env.yaml"
shell:
"fastqc {input.R1} {input.R2}"
### MultiQC analysis
rule run_multiqc:
input:
"HSC_T6_S3_R1_001_fastqc.html",
"HSC_T6_S3_R2_001_fastqc.html"
output:
"multiqc_report.html",
directory("multiqc_data")
shell:
"multiqc ."
### Trimming fastq data by Cutadapt
# Making sequence adapter
rule making_seq_adapter:
output:
temp("adapterSeq.fa")
shell:
"""
echo -e ">illumina_adapter_forward\n{config[adapter_seq]}" > adapterSeq.fa
"""
# Computing reverse complement sequence
rule compute_reverse_complement:
input:
"adapterSeq.fa"
output:
temp("adapterSeqRevComp.fa")
shell:
"fastx_reverse_complement -i {input} -o {output}"
# Trimming by Cutadapt
rule cutadapt:
input:
adapter_reserve_complement = "adapterSeqRevComp.fa",
R1= "{sample}_R1_001.fastq.gz",
R2= "{sample}_R2_001.fastq.gz"
output:
R1="{sample}_R1_001_trimmed.fastq.gz",
R2="{sample}_R2_001_trimmed.fastq.gz"
shell:
"cutadapt -a {config[adapter_seq]} -A $(tail -n1 {input.adapter_reserve_complement}) -o {output.R1} -p {output.R2} {input.R1} {input.R2}"
### FastQC analysis of trimmed fastq data
rule fastqc_analysis_trimmed:
input:
R1= "{sample}_R1_001_trimmed.fastq.gz",
R2= "{sample}_R2_001_trimmed.fastq.gz"
output:
"{sample}_R1_001_trimmed_fastqc.html",
"{sample}_R1_001_trimmed_fastqc.zip",
"{sample}_R2_001_trimmed_fastqc.html",
"{sample}_R2_001_trimmed_fastqc.zip"
shell:
"fastqc {input.R1} {input.R2}"
### Quantification of transcripts by Kallisto and Salmon
## Downloading reference fasta in regard to Kallisto and Salmon
rule download_ref:
input:
output:
"Rattus_norvegicus.Rnor_6.0.cdna.all.fa.gz"
shell:
"wget -c {config[ref_fasta_sal_kal_rat]}"
## Extracting downloaded reference fasta
rule extract_ref:
input:
"Rattus_norvegicus.Rnor_6.0.cdna.all.fa.gz"
output:
"Rattus_norvegicus.Rnor_6.0.cdna.all.fa"
shell:
"gzip -d {input}"
## Kallisto indexing
rule create_index_kallisto:
input:
"Rattus_norvegicus.Rnor_6.0.cdna.all.fa"
output:
"transcripts.idx"
shell:
"kallisto index -i {output} {input}"
## Kallisto quantification
rule kallisto_quant:
output:
"kallisto.{sample}/abundance.tsv"
input:
index = "transcripts.idx",
R1 = "{sample}_R1_001_trimmed.fastq.gz",
R2 = "{sample}_R2_001_trimmed.fastq.gz",
shell:
"kallisto quant -i {input.index} -o kallisto.{wildcards.sample} {input.R1} {input.R2}"
## Quantification of transcripts by Salmon
SALMON_INDEX= "{config[salmon_index_rat]}"
## Creating Salmon directory
rule salmon_directory:
output:
directory("salmon_index")
shell:
"mkdir {output} && "
## Salmon indexing
rule create_index_salmon:
input:
"Rattus_norvegicus.Rnor_6.0.cdna.all.fa"
output:
directory("{SALMON_INDEX}/transcripts.idx")
shell:
"salmon index --gencode -p 12 -t {input} -i {output}"
## Salmon quantification
rule salmon_quant:
output:
"salmon.{sample}/quant.sf",
input:
index = "salmon_index/transcripts.idx",
R1 = "{sample}_R1_001_trimmed.fastq.gz",
R2 = "{sample}_R2_001_trimmed.fastq.gz",
shell:
"salmon quant -i {input.index} -l A -p 12 --gcBias "
"--numGibbsSamples 20 --thinningFactor 100 "
"-o salmon.{wildcards.sample} -1 {input.R1} -2 {input.R2}"