Note: modified from Sam White’s code in 00.00-D-Apul-RNAseq-reads-FastQC-MultiQC
This Rmd file will download raw RNA-seq FastQs for A.pulchra and evaluate them using FastQC and MultiQC(Ewels et al. 2016).
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_02/shedurkin/timeseries_molecular'
echo 'export output_dir_top=${timeseries_dir}/D-Apul/output/00.10-D-Apul-sRNAseq-reads-FastQC-MultiQC'
echo 'export raw_fastqc_dir=${output_dir_top}/raw-fastqc-sRNA'
echo 'export raw_reads_dir=${timeseries_dir}/D-Apul/data/raw-fastqs-sRNA'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1069297013/"'
echo ""
echo "# Paths to programs"
echo 'export fastqc=/home/shared/FastQC-0.12.1/fastqc'
echo 'export multiqc=/home/sam/programs/mambaforge/bin/multiqc'
echo ""
echo "# Set FastQ filename patterns"
echo "export fastq_pattern='*.fastq.gz'"
echo "export R1_fastq_pattern='*_R1_*.fastq.gz'"
echo "export R2_fastq_pattern='*_R2_*.fastq.gz'"
echo ""
echo "# Set number of CPUs to use"
echo 'export threads=40'
echo ""
echo "## Inititalize arrays"
echo 'export fastq_array_R1=()'
echo 'export fastq_array_R2=()'
echo 'export raw_fastqs_array=()'
echo 'export R1_names_array=()'
echo 'export R2_names_array=()'
echo ""
echo "# Programs associative array"
echo "declare -A programs_array"
echo "programs_array=("
echo '[fastqc]="${fastqc}" \'
echo '[multiqc]="${multiqc}" \'
echo ")"
echo ""
echo "# Print formatting"
echo 'export line="--------------------------------------------------------"'
echo ""
} > .bashvars
cat .bashvars
#### Assign Variables ####
# Data directories
export timeseries_dir=/home/shared/8TB_HDD_02/shedurkin/timeseries_molecular
export output_dir_top=${timeseries_dir}/D-Apul/output/00.10-D-Apul-sRNAseq-reads-FastQC-MultiQC
export raw_fastqc_dir=${output_dir_top}/raw-fastqc-sRNA
export raw_reads_dir=${timeseries_dir}/D-Apul/data/raw-fastqs-sRNA
export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1069297013/"
# Paths to programs
export fastqc=/home/shared/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'
# 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=(
[fastqc]="${fastqc}" \
[multiqc]="${multiqc}" \
)
# Print formatting
export line="--------------------------------------------------------"
Download A.pulchra sRNA-seq FastQs
Download raw sRNA-seq reads
Reads are downloaded from https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1069297013/
Since sequencing included multiple species, the code will also parse only those that are A.pulchra.
The --cut-dirs 3
command cuts the preceding directory structure (i.e. nightingales/E5-coral-time-series/30-1047560508/
) so that we just end up with the reads.
# 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 "," '$6 ~ /^ACR/ {print $5}' ${timeseries_dir}/M-multi-species/data/rna_metadata.csv)
echo ""
echo "${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_*," ${sample_list})
# Remove the trailing comma
formatted_list=${formatted_list%,}
# 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
# Note: the --no-clobber command will skip re-downloading any files that are already present in the output directory
wget \
--directory-prefix ${raw_reads_dir} \
--recursive \
--no-check-certificate \
--continue \
--cut-dirs 3 \
--no-host-directories \
--no-parent \
--quiet \
--no-clobber \
--accept=${formatted_list} ${raw_reads_url}
ls -lh "${raw_reads_dir}"
Check number of files
We have 40 A.pulchra samples (10 colonies, 4 timepoints each), so there should be 80 total sequence files (forward and reverse read for each sample).
# Load bash variables into memory
source .bashvars
echo "Number of fastq files:"
ls ${raw_reads_dir}/${fastq_pattern} | wc -l
echo "Number of md5 files:"
ls ${raw_reads_dir}/*.md5 | wc -l
We’re good!
Verify raw read checksums
# Load bash variables into memory
source .bashvars
cd "${raw_reads_dir}"
# Checksums file contains other files, so this just looks for the sRNAseq files.
for file in *.md5
do
md5sum --check "${file}"
done
FastQC/MultiQC on raw reads
# Load bash variables into memory
source .bashvars
# Make output directory if it doesn't exist
mkdir --parents "${raw_fastqc_dir}"
############ RUN FASTQC ############
# Create array of trimmed FastQs
raw_fastqs_array=(${raw_reads_dir}/${fastq_pattern})
# Pass array contents to new variable as space-delimited list
raw_fastqc_list=$(echo "${raw_fastqs_array[*]}")
echo "Beginning FastQC on raw reads..."
echo ""
# Run FastQC
### NOTE: Do NOT quote raw_fastqc_list
${programs_array[fastqc]} \
--threads ${threads} \
--outdir ${raw_fastqc_dir} \
--quiet \
${raw_fastqc_list}
echo "FastQC on raw reads complete!"
echo ""
############ END FASTQC ############
############ RUN MULTIQC ############
echo "Beginning MultiQC on raw FastQC..."
echo ""
${programs_array[multiqc]} ${raw_fastqc_dir} -o ${raw_fastqc_dir}
echo ""
echo "MultiQC on raw FastQs complete."
echo ""
############ END MULTIQC ############
echo "Removing FastQC zip files."
echo ""
rm ${raw_fastqc_dir}/*.zip
echo "FastQC zip files removed."
echo ""
# View directory contents
ls -lh ${raw_fastqc_dir}
Ewels, Philip, Måns Magnusson, Sverker Lundin, and Max Käller. 2016.
“MultiQC: Summarize Analysis Results for Multiple Tools and Samples in a Single Report.” Bioinformatics 32 (19): 3047–48.
https://doi.org/10.1093/bioinformatics/btw354.
---
title: "00.10-D-Apul-sRNAseq-reads-FastQC-MultiQC.Rmd"
author: "Kathleen Durkin"
date: "2024-12-18"
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
---

Note: modified from Sam White's code in `00.00-D-Apul-RNAseq-reads-FastQC-MultiQC`

```{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 will download raw RNA-seq FastQs for *A.pulchra* and evaluate them using [FastQC](https://github.com/s-andrews/FastQC) and [MultiQC](https://multiqc.info/)[@ewels2016].

# 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_02/shedurkin/timeseries_molecular'
echo 'export output_dir_top=${timeseries_dir}/D-Apul/output/00.10-D-Apul-sRNAseq-reads-FastQC-MultiQC'
echo 'export raw_fastqc_dir=${output_dir_top}/raw-fastqc-sRNA'
echo 'export raw_reads_dir=${timeseries_dir}/D-Apul/data/raw-fastqs-sRNA'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1069297013/"'
echo ""

echo "# Paths to programs"
echo 'export fastqc=/home/shared/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 ""

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 '[fastqc]="${fastqc}" \'
echo '[multiqc]="${multiqc}" \'
echo ")"
echo ""

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

cat .bashvars
```

# Download *A.pulchra* sRNA-seq FastQs

## Download raw sRNA-seq reads

Reads are downloaded from <https://owl.fish.washington.edu/nightingales/E5-coral-time-series/30-1069297013/>

Since sequencing included multiple species, the code will also parse only those that are *A.pulchra*.

The `--cut-dirs 3` command cuts the preceding directory structure (i.e. `nightingales/E5-coral-time-series/30-1047560508/`) so that we just end up with the reads.

```{bash download-raw-reads, engine='bash'}
# 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 "," '$6 ~ /^ACR/ {print $5}' ${timeseries_dir}/M-multi-species/data/rna_metadata.csv)

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
formatted_list=${formatted_list%,}

# 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
# Note: the --no-clobber command will skip re-downloading any files that are already present in the output directory
wget \
--directory-prefix ${raw_reads_dir} \
--recursive \
--no-check-certificate \
--continue \
--cut-dirs 3 \
--no-host-directories \
--no-parent \
--quiet \
--no-clobber \
--accept=${formatted_list} ${raw_reads_url}

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

## Check number of files

We have 40 A.pulchra samples (10 colonies, 4 timepoints each), so there should be 80 total sequence files (forward and reverse read for each sample).

```{r, engine='bash'}
# Load bash variables into memory
source .bashvars

echo "Number of fastq files:"
ls ${raw_reads_dir}/${fastq_pattern} | wc -l

echo "Number of md5 files:"
ls ${raw_reads_dir}/*.md5 | wc -l
```
We're good!

## Verify raw read checksums

```{bash verify-raw-read-checksums, engine='bash'}
# 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
```

# FastQC/MultiQC on raw reads

```{bash raw-fastqc-multiqc, engine='bash'}
# Load bash variables into memory
source .bashvars

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

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


# Create array of trimmed FastQs
raw_fastqs_array=(${raw_reads_dir}/${fastq_pattern})

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

echo "Beginning FastQC on raw reads..."
echo ""

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

echo "FastQC on raw reads complete!"
echo ""

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

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

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

echo ""
echo "MultiQC on raw FastQs complete."
echo ""

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

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

# View directory contents
ls -lh ${raw_fastqc_dir}

```
