This Rmd file trims A.pulchra RNA-seq files using fastp (Chen 2023), followed by quality checks with FastQC and MultiQC(Ewels et al. 2016).
Expects input files formatted like so: <number>--<sample_name>_R[12]_001.fastq.gz
All trimmed FastQs produced by this script are here:
01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC/trimmed-fastqs/
Create a Bash variables file
This allows usage of Bash variables across R Markdown chunks.
{
echo "#### Assign Variables ####"
echo ""
echo "# Data directories"
echo 'export timeseries_dir=/home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/timeseries_molecular'
echo 'export output_dir_top=${timeseries_dir}/D-Apul/output/01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC'
echo 'export raw_reads_dir=${timeseries_dir}/D-Apul/data/raw-fastqs'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1047560508/"'
echo 'export trimmed_fastqs_dir=${output_dir_top}/trimmed-fastqs'
echo 'export trimmed_fastqc_dir=${output_dir_top}/trimmed-fastqc'
echo ""
echo "# Paths to programs"
echo 'export programs_dir="/home/shared"'
echo 'export fastp="${programs_dir}/fastp"'
echo 'export fastqc=${programs_dir}/FastQC-0.12.1/fastqc'
echo 'export multiqc=/home/sam/programs/mambaforge/bin/multiqc'
echo ""
echo "# Set FastQ filename patterns"
echo "export fastq_pattern='*.fastq.gz'"
echo "export R1_fastq_pattern='*_R1_*.fastq.gz'"
echo "export R2_fastq_pattern='*_R2_*.fastq.gz'"
echo "export trimmed_fastq_pattern='*fastp-trim.fq.gz'"
echo ""
echo "# Set number of CPUs to use"
echo 'export threads=40'
echo ""
echo "## Inititalize arrays"
echo 'export fastq_array_R1=()'
echo 'export fastq_array_R2=()'
echo 'export raw_fastqs_array=()'
echo 'export R1_names_array=()'
echo 'export R2_names_array=()'
echo ""
echo "# Programs associative array"
echo "declare -A programs_array"
echo "programs_array=("
echo '[fastp]="${fastp}" \'
echo '[fastqc]="${fastqc}" \'
echo '[multiqc]="${multiqc}" \'
echo ")"
echo ""
echo "# Print formatting"
echo 'export line="--------------------------------------------------------"'
echo ""
} > .bashvars
cat .bashvars
#### Assign Variables ####
# Data directories
export timeseries_dir=/home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/timeseries_molecular
export output_dir_top=${timeseries_dir}/D-Apul/output/01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC
export raw_reads_dir=${timeseries_dir}/D-Apul/data/raw-fastqs
export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1047560508/"
export trimmed_fastqs_dir=${output_dir_top}/trimmed-fastqs
export trimmed_fastqc_dir=${output_dir_top}/trimmed-fastqc
# Paths to programs
export programs_dir="/home/shared"
export fastp="${programs_dir}/fastp"
export fastqc=${programs_dir}/FastQC-0.12.1/fastqc
export multiqc=/home/sam/programs/mambaforge/bin/multiqc
# Set FastQ filename patterns
export fastq_pattern='*.fastq.gz'
export R1_fastq_pattern='*_R1_*.fastq.gz'
export R2_fastq_pattern='*_R2_*.fastq.gz'
export trimmed_fastq_pattern='*fastp-trim.fq.gz'
# Set number of CPUs to use
export threads=40
## Inititalize arrays
export fastq_array_R1=()
export fastq_array_R2=()
export raw_fastqs_array=()
export R1_names_array=()
export R2_names_array=()
# Programs associative array
declare -A programs_array
programs_array=(
[fastp]="${fastp}" \
[fastqc]="${fastqc}" \
[multiqc]="${multiqc}" \
)
# Print formatting
export line="--------------------------------------------------------"
If needed, download raw RNA-seq.
Change eval=FALSE
to eval=TRUE
to execute the next two chunks to download RNA-seq and then verify MD5 checksums.
# Load bash variables into memory
source .bashvars
# Make output directory if it doesn't exist
mkdir --parents ${raw_reads_dir}
# Create list of only A.pulchra sample names
sample_list=$(awk -F "," 'NR > 2 {print $5"\t"$6}' ${timeseries_dir}/data/rna_metadata.csv | awk -F"[\t-]" '$2 == "ACR" {print $1}')
echo ""
echo "${line}"
echo ""
echo "Sample list:"
echo ""
echo "${sample_list}"
echo ""
echo "${line}"
echo ""
# Use printf to format each item for use in wget
formatted_list=$(printf "*%s*," ${sample_list})
# Remove the trailing comma and append *.md5
formatted_list="${formatted_list%,},*.md5"
# Output the final wget command
echo ""
echo "${line}"
echo ""
echo "Formatted wget accept list:"
echo ""
echo "wget --accept=\"$formatted_list\""
echo ""
echo "${line}"
echo ""
# Run wget to retrieve FastQs and MD5 files
wget \
--directory-prefix ${raw_reads_dir} \
--recursive \
--no-check-certificate \
--continue \
--cut-dirs 3 \
--no-host-directories \
--no-parent \
--quiet \
--accept=\"$formatted_list\" ${raw_reads_url}
ls -lh "${raw_reads_dir}"
Verify raw read checksums
# Load bash variables into memory
source .bashvars
cd "${raw_reads_dir}"
# Checksums file contains other files, so this just looks for the sRNAseq files.
for file in *.md5
do
md5sum --check "${file}"
done
Fastp Trimming
fastp (Chen 2023) is set to auto-detect Illumina adapters, as well as trim the first 20bp from each read, as past experience shows these first 20bp are more inconsistent than the remainder of the read length.
# Load bash variables into memory
source .bashvars
# Make output directories, if it doesn't exist
mkdir --parents "${trimmed_fastqs_dir}"
# Change to raw reads directory
cd "${raw_reads_dir}"
# Create arrays of fastq R1 files and sample names
for fastq in ${R1_fastq_pattern}
do
fastq_array_R1+=("${fastq}")
R1_names_array+=("$(echo "${fastq}" | awk -F"_" '{print $1}')")
done
# Create array of fastq R2 files
for fastq in ${R2_fastq_pattern}
do
fastq_array_R2+=("${fastq}")
R2_names_array+=("$(echo "${fastq}" | awk -F"_" '{print $1}')")
done
# Create list of fastq files used in analysis
# Create MD5 checksum for reference
if [ ! -f "${output_dir_top}"/raw-fastq-checksums.md5 ]; then
for fastq in *.gz
do
md5sum ${fastq} >> "${output_dir_top}"/raw-fastq-checksums.md5
done
fi
# Run fastp on files
# Adds JSON report output for downstream usage by MultiQC
for index in "${!fastq_array_R1[@]}"
do
R1_sample_name=$(echo "${R1_names_array[index]}")
R2_sample_name=$(echo "${R2_names_array[index]}")
${fastp} \
--in1 ${fastq_array_R1[index]} \
--in2 ${fastq_array_R2[index]} \
--detect_adapter_for_pe \
--trim_front1 20 \
--trim_front2 20 \
--thread ${threads} \
--html "${trimmed_fastqs_dir}"/"${R1_sample_name}".fastp-trim.report.html \
--json "${trimmed_fastqs_dir}"/"${R1_sample_name}".fastp-trim.report.json \
--out1 "${trimmed_fastqs_dir}"/"${R1_sample_name}"_R1_001.fastp-trim.fq.gz \
--out2 "${trimmed_fastqs_dir}"/"${R2_sample_name}"_R2_001.fastp-trim.fq.gz \
2>> "${trimmed_fastqs_dir}"/fastp.stderr
# Generate md5 checksums for newly trimmed files
cd "${trimmed_fastqs_dir}"
md5sum "${R1_sample_name}"_R1_001.fastp-trim.fq.gz > "${R1_sample_name}"_R1_001.fastp-trim.fq.gz.md5
md5sum "${R2_sample_name}"_R2_001.fastp-trim.fq.gz > "${R2_sample_name}"_R2_001.fastp-trim.fq.gz.md5
cd -
done
Quality Check with FastQC and MultiQC
# Load bash variables into memory
source .bashvars
# Make output directory if it doesn't exist
mkdir --parents "${trimmed_fastqc_dir}"
############ RUN FASTQC ############
# Create array of trimmed FastQs
trimmed_fastqs_array=(${trimmed_fastqs_dir}/${trimmed_fastq_pattern})
# Pass array contents to new variable as space-delimited list
trimmed_fastqc_list=$(echo "${trimmed_fastqs_array[*]}")
echo "Beginning FastQC on trimmed reads..."
echo ""
# Run FastQC
### NOTE: Do NOT quote raw_fastqc_list
${programs_array[fastqc]} \
--threads ${threads} \
--outdir ${trimmed_fastqs_dir} \
--quiet \
${trimmed_fastqc_list}
echo "FastQC on trimmed reads complete!"
echo ""
############ END FASTQC ############
############ RUN MULTIQC ############
echo "Beginning MultiQC on trimmed FastQC..."
echo ""
${programs_array[multiqc]} ${trimmed_fastqs_dir} -o ${trimmed_fastqs_dir}
echo ""
echo "MultiQC on trimmed FastQs complete."
echo ""
############ END MULTIQC ############
echo "Removing FastQC zip files."
echo ""
rm ${trimmed_fastqs_dir}/*.zip
echo "FastQC zip files removed."
echo ""
Beginning FastQC on trimmed reads...
application/gzip
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FastQC on trimmed reads complete!
Beginning MultiQC on trimmed FastQC...
/// MultiQC π | v1.14
| multiqc | MultiQC Version v1.25.1 now available!
| multiqc | Search path : /home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/timeseries_molecular/D-Apul/output/01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC/trimmed-fastqs
| searching | ββββββββββββββββββββββββββββββββββββββββ 100% 450/450
| fastqc | Found 88 reports
| multiqc | Compressing plot data
| multiqc | Previous MultiQC output found! Adjusting filenames..
| multiqc | Use -f or --force to overwrite existing reports instead
| multiqc | Report : ../output/01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC/trimmed-fastqs/multiqc_report_2.html
| multiqc | Data : ../output/01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC/trimmed-fastqs/multiqc_data_2
| multiqc | MultiQC complete
| multiqc | 1 flat-image plot used in the report due to large sample numbers
| multiqc | To force interactive plots, use the '--interactive' flag.
See the documentation.
MultiQC on trimmed FastQs complete.
Removing FastQC zip files.
FastQC zip files removed.
Chen, Shifu. 2023.
βUltrafast One-Pass FASTQ Data Preprocessing, Quality Control, and Deduplication Using Fastp.β iMeta 2 (2).
https://doi.org/10.1002/imt2.107.
Ewels, Philip, MΓ₯ns Magnusson, Sverker Lundin, and Max KΓ€ller. 2016.
βMultiQC: Summarize Analysis Results for Multiple Tools and Samples in a Single Report.β Bioinformatics 32 (19): 3047β48.
https://doi.org/10.1093/bioinformatics/btw354.
---
title: "01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC"
author: "Sam White"
date: "2024-10-05"
output: 
  bookdown::html_document2:
    theme: cosmo
    toc: true
    toc_float: true
    number_sections: true
    code_folding: show
    code_download: true
  github_document:
    toc: true
    number_sections: true
  html_document:
    theme: cosmo
    toc: true
    toc_float: true
    number_sections: true
    code_folding: show
    code_download: true
bibliography: references.bib
---

```{r setup, include=FALSE}
library(knitr)
knitr::opts_chunk$set(
  echo = TRUE,         # Display code chunks
  eval = FALSE,        # Evaluate code chunks
  warning = FALSE,     # Hide warnings
  message = FALSE,     # Hide messages
  comment = ""         # Prevents appending '##' to beginning of lines in code output
)
```

------------------------------------------------------------------------

This Rmd file trims *A.pulchra* RNA-seq files using [fastp](https://github.com/OpenGene/fastp) [@chen2023], followed by quality checks with [FastQC](https://github.com/s-andrews/FastQC) and [MultiQC](https://multiqc.info/)[@ewels2016].

Expects input files formatted like so: `<number>--<sample_name>_R[12]_001.fastq.gz`

All trimmed FastQs produced by this script are here:

[01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC/trimmed-fastqs/](https://gannet.fish.washington.edu/Atumefaciens/gitrepos/urol-e5/timeseries_molecular/D-Apul/output/01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC/trimmed-fastqs/)

# Create a Bash variables file

This allows usage of Bash variables across R Markdown chunks.

```{r save-bash-variables-to-rvars-file, engine='bash', eval=TRUE}
{
echo "#### Assign Variables ####"
echo ""

echo "# Data directories"
echo 'export timeseries_dir=/home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/timeseries_molecular'
echo 'export output_dir_top=${timeseries_dir}/D-Apul/output/01.00-D-Apul-RNAseq-trimming-fastp-FastQC-MultiQC'
echo 'export raw_reads_dir=${timeseries_dir}/D-Apul/data/raw-fastqs'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1047560508/"'
echo 'export trimmed_fastqs_dir=${output_dir_top}/trimmed-fastqs'
echo 'export trimmed_fastqc_dir=${output_dir_top}/trimmed-fastqc'
echo ""

echo "# Paths to programs"
echo 'export programs_dir="/home/shared"'
echo 'export fastp="${programs_dir}/fastp"'
echo 'export fastqc=${programs_dir}/FastQC-0.12.1/fastqc'
echo 'export multiqc=/home/sam/programs/mambaforge/bin/multiqc'
echo ""

echo "# Set FastQ filename patterns"
echo "export fastq_pattern='*.fastq.gz'"
echo "export R1_fastq_pattern='*_R1_*.fastq.gz'"
echo "export R2_fastq_pattern='*_R2_*.fastq.gz'"
echo "export trimmed_fastq_pattern='*fastp-trim.fq.gz'"
echo ""

echo "# Set number of CPUs to use"
echo 'export threads=40'
echo ""


echo "## Inititalize arrays"
echo 'export fastq_array_R1=()'
echo 'export fastq_array_R2=()'
echo 'export raw_fastqs_array=()'
echo 'export R1_names_array=()'
echo 'export R2_names_array=()'
echo ""

echo "# Programs associative array"
echo "declare -A programs_array"
echo "programs_array=("
echo '[fastp]="${fastp}" \'
echo '[fastqc]="${fastqc}" \'
echo '[multiqc]="${multiqc}" \'
echo ")"
echo ""

echo "# Print formatting"
echo 'export line="--------------------------------------------------------"'
echo ""
} > .bashvars

cat .bashvars
```

If needed, download raw RNA-seq.

Change `eval=FALSE` to `eval=TRUE` to execute the next two chunks to download RNA-seq and then verify MD5 checksums.

```{bash download-raw-reads, engine='bash', eval=FALSE}
# Load bash variables into memory
source .bashvars

# Make output directory if it doesn't exist
mkdir --parents ${raw_reads_dir}

# Create list of only A.pulchra sample names
sample_list=$(awk -F "," 'NR > 2 {print $5"\t"$6}' ${timeseries_dir}/data/rna_metadata.csv | awk -F"[\t-]" '$2 == "ACR" {print $1}')

echo ""
echo "${line}"
echo ""
echo "Sample list:"
echo ""
echo "${sample_list}"
echo ""
echo "${line}"
echo ""


# Use printf to format each item for use in wget
formatted_list=$(printf "*%s*," ${sample_list})

# Remove the trailing comma and append *.md5
formatted_list="${formatted_list%,},*.md5"

# Output the final wget command
echo ""
echo "${line}"
echo ""
echo "Formatted wget accept list:"
echo ""
echo "wget --accept=\"$formatted_list\""
echo ""
echo "${line}"
echo ""

# Run wget to retrieve FastQs and MD5 files
wget \
--directory-prefix ${raw_reads_dir} \
--recursive \
--no-check-certificate \
--continue \
--cut-dirs 3 \
--no-host-directories \
--no-parent \
--quiet \
--accept=\"$formatted_list\" ${raw_reads_url}

ls -lh "${raw_reads_dir}"
```

Verify raw read checksums
```{bash verify-raw-read-checksums, engine='bash', eval=FALSE}
# Load bash variables into memory
source .bashvars

cd "${raw_reads_dir}"

# Checksums file contains other files, so this just looks for the sRNAseq files.
for file in *.md5
do
  md5sum --check "${file}"
done
```

# Fastp Trimming

[fastp](https://github.com/OpenGene/fastp) [@chen2023] is set to auto-detect Illumina adapters, as well as trim the first 20bp from each read, as past experience shows these first 20bp are more inconsistent than the remainder of the read length.

```{bash fastp-trimming, engine='bash', eval=FALSE}
# Load bash variables into memory
source .bashvars

# Make output directories, if it doesn't exist
mkdir --parents "${trimmed_fastqs_dir}"

# Change to raw reads directory
cd "${raw_reads_dir}"

# Create arrays of fastq R1 files and sample names
for fastq in ${R1_fastq_pattern}
do
  fastq_array_R1+=("${fastq}")
  R1_names_array+=("$(echo "${fastq}" | awk -F"_" '{print $1}')")
done

# Create array of fastq R2 files
for fastq in ${R2_fastq_pattern}
do
  fastq_array_R2+=("${fastq}")
  R2_names_array+=("$(echo "${fastq}" | awk -F"_" '{print $1}')")
done

# Create list of fastq files used in analysis
# Create MD5 checksum for reference
if [ ! -f "${output_dir_top}"/raw-fastq-checksums.md5 ]; then
for fastq in *.gz
  do
    md5sum ${fastq} >> "${output_dir_top}"/raw-fastq-checksums.md5
  done
fi

# Run fastp on files
# Adds JSON report output for downstream usage by MultiQC
for index in "${!fastq_array_R1[@]}"
do
  R1_sample_name=$(echo "${R1_names_array[index]}")
  R2_sample_name=$(echo "${R2_names_array[index]}")
  ${fastp} \
  --in1 ${fastq_array_R1[index]} \
  --in2 ${fastq_array_R2[index]} \
  --detect_adapter_for_pe \
  --trim_front1 20 \
  --trim_front2 20 \
  --thread ${threads} \
  --html "${trimmed_fastqs_dir}"/"${R1_sample_name}".fastp-trim.report.html \
  --json "${trimmed_fastqs_dir}"/"${R1_sample_name}".fastp-trim.report.json \
  --out1 "${trimmed_fastqs_dir}"/"${R1_sample_name}"_R1_001.fastp-trim.fq.gz \
  --out2 "${trimmed_fastqs_dir}"/"${R2_sample_name}"_R2_001.fastp-trim.fq.gz \
  2>> "${trimmed_fastqs_dir}"/fastp.stderr

  # Generate md5 checksums for newly trimmed files
  cd "${trimmed_fastqs_dir}"
  md5sum "${R1_sample_name}"_R1_001.fastp-trim.fq.gz > "${R1_sample_name}"_R1_001.fastp-trim.fq.gz.md5
  md5sum "${R2_sample_name}"_R2_001.fastp-trim.fq.gz > "${R2_sample_name}"_R2_001.fastp-trim.fq.gz.md5
  cd -
done
```

# Quality Check with FastQC and MultiQC
```{bash trimmed-fastqc-multiqc, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

# Make output directory if it doesn't exist
mkdir --parents "${trimmed_fastqc_dir}"

############ RUN FASTQC ############


# Create array of trimmed FastQs
trimmed_fastqs_array=(${trimmed_fastqs_dir}/${trimmed_fastq_pattern})

# Pass array contents to new variable as space-delimited list
trimmed_fastqc_list=$(echo "${trimmed_fastqs_array[*]}")

echo "Beginning FastQC on trimmed reads..."
echo ""

# Run FastQC
### NOTE: Do NOT quote raw_fastqc_list
${programs_array[fastqc]} \
--threads ${threads} \
--outdir ${trimmed_fastqs_dir} \
--quiet \
${trimmed_fastqc_list}

echo "FastQC on trimmed reads complete!"
echo ""

############ END FASTQC ############

############ RUN MULTIQC ############
echo "Beginning MultiQC on trimmed FastQC..."
echo ""

${programs_array[multiqc]} ${trimmed_fastqs_dir} -o ${trimmed_fastqs_dir}

echo ""
echo "MultiQC on trimmed FastQs complete."
echo ""

############ END MULTIQC ############

echo "Removing FastQC zip files."
echo ""
rm ${trimmed_fastqs_dir}/*.zip
echo "FastQC zip files removed."
echo ""
```