1 Background

This Rmd file will download raw WGBS-seq FastQs for A.pulchra and evaluate them using FastQC and MultiQC (Ewels et al. 2016).

2 Create a Bash variables file

This allows usage of Bash variables across R Markdown chunks.

{
echo "#### Assign Variables ####"
echo ""

echo "# Data directories"
echo 'export deep_dive_expression_dir=/home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/deep-dive-expression'
echo 'export output_dir_top=${deep_dive_expression_dir}/D-Apul/output/00.00-D-Apul-WGBS-reads-FastQC-MultiQC'
echo 'export raw_fastqc_dir=${output_dir_top}/raw-fastqc'
echo 'export raw_reads_dir=${deep_dive_expression_dir}/D-Apul/data/raw-fastqs'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-deep-dive-expression/genohub2216545/"'
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 deep_dive_expression_dir=/home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/deep-dive-expression
export output_dir_top=${deep_dive_expression_dir}/D-Apul/output/00.00-D-Apul-WGBS-reads-FastQC-MultiQC
export raw_fastqc_dir=${output_dir_top}/raw-fastqc
export raw_reads_dir=${deep_dive_expression_dir}/D-Apul/data/raw-fastqs
export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-deep-dive-expression/genohub2216545/"

# 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="--------------------------------------------------------"

3 Download A.pulchra RNA-seq FastQs

Reads are downloaded from https://owl.fish.washington.edu/nightingales/E5-coral-deep-dive-expression/genohub2216545/

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.Β nightingales/E5-coral-deep-dive-expression/genohub2216545/) so that we just end up with the reads.

3.1 Inspect metadata file

# Load bash variables into memory
source .bashvars

head ${deep_dive_expression_dir}/M-multi-species/data/e5_deep_dive_WGBS_metadata.csv |
column -t -s","
Number  Species                   Timepoint  Collection Date  Site   colony_id  Extraction Date  Extraction notebook post                                                                                                      DNA (ng/uL)  Volume eluted  Total DNA (ng)  Primer  Date Prepped  Library concentration (ng/uL)  bp peak  Library volume (uL)  Prep notebook post                                                                                                             Notes
403     Pocillopora tuahiniensis  TP2        20200305         Site1  POC-48     20211129         https://github.com/Kterpis/Putnam_Lab_Notebook/blob/master/_posts/2021-11-29-20211129-RNA-DNA-extractions-from-E5-project.md  29.1         90             2619            25      20240613      8.67                           253      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  Labeled as POC-55 in KXT extraction post 
413     Acropora pulchra          TP2        20200305         Site1  ACR-178    20210902         https://github.com/Kterpis/Putnam_Lab_Notebook/blob/master/_posts/2021-09-02-20210902-RNA-DNA-extractions-from-E5-project.md  19.9         90             1791            26      20240613      9.64                           269      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  
417     Pocillopora tuahiniensis  TP2        20200305         Site1  POC-57     20211020         https://kterpis.github.io/Putnam_Lab_Notebook/20211020-RNA-DNA-extractions-from-E5-project/                                   51.4         90             4626            27      20240613      9.3                            256      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  Labeled as POC-238 in KXT extraction post 
423     Acropora pulchra          TP2        20200305         Site1  ACR-150    20210903         https://github.com/Kterpis/Putnam_Lab_Notebook/blob/master/_posts/2021-09-03-20210903-RNA-DNA-extractions-from-E5-project.md  17.7         90             1593            29      20240613      8.61                           267      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  Labeled as POR-75 in KXT extraction post 
427     Acropora pulchra          TP2        20200305         Site1  ACR-145    20211012         https://kterpis.github.io/Putnam_Lab_Notebook/20211012-RNA-DNA-extractions-from-E5-project/                                   19.6         90             1764            30      20240613      8.82                           271      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  
439     Acropora pulchra          TP2        20200305         Site1  ACR-173    20211102         https://kterpis.github.io/Putnam_Lab_Notebook/20211102-RNA-DNA-extractions-from-E5-project/                                   19.9         90             1791            31      20240613      11.9                           264      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  
467     Acropora pulchra          TP2        20200305         Site1  ACR-140    20210921         https://github.com/Kterpis/Putnam_Lab_Notebook/blob/master/_posts/2021-09-21-20210921-RNA-DNA-extractions-from-E5-project.md  21.9         90             1971            32      20240613      16                             270      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  DNA 1 and 2 Qubit readings are 27.6 and 27.4 but average is reported as 4.79 on github and on master sample sheet; JA re-qubited on 20240229 and got 21.9 ul/ng
471     Porites evermanni         TP2        20200305         Site1  POR-76     20211015         https://kterpis.github.io/Putnam_Lab_Notebook/20211015-RNA-DNA-extractions-from-E5-project/                                   2.7          90             243             33      20240613      5.25                           245      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  
491     Porites evermanni         TP2        20200305         Site1  POR-73     20211101         https://kterpis.github.io/Putnam_Lab_Notebook/20211101-RNA-DNA-extractions-from-E5-project/                                   2.11         90             189.9           36      20240613      4.65                           315      14                   https://github.com/JillAshey/JillAshey_Putnam_Lab_Notebook/blob/master/_posts/2024-06-13-Zymo-Pico-Methyl-Seq-Library-Prep.md  

3.2 Download raw 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 $1}' ${deep_dive_expression_dir}/M-multi-species/data/e5_deep_dive_WGBS_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}"

3.3 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 RNAseq files.
for file in *.md5
do
  md5sum --check "${file}"
done
413_S1_R1_001.fastq.gz: OK
413_S1_R2_001.fastq.gz: OK
423_S2_R1_001.fastq.gz: OK
423_S2_R2_001.fastq.gz: OK
427_S3_R1_001.fastq.gz: OK
427_S3_R2_001.fastq.gz: OK
439_S4_R1_001.fastq.gz: OK
439_S4_R2_001.fastq.gz: OK
467_S5_R1_001.fastq.gz: OK
467_S5_R2_001.fastq.gz: OK

4 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 ""
Beginning FastQC on raw reads...

application/gzip
application/gzip
application/gzip
application/gzip
application/gzip
application/gzip
application/gzip
application/gzip
application/gzip
application/gzip
FastQC on raw reads complete!

Beginning MultiQC on raw FastQC...


  /// MultiQC πŸ” | v1.14

|           multiqc | MultiQC Version v1.27 now available!
|           multiqc | Search path : /home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/deep-dive-expression/D-Apul/output/00.00-D-Apul-WGBS-reads-FastQC-MultiQC/raw-fastqc
|         searching | ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 20/20  
|            fastqc | Found 10 reports
|           multiqc | Compressing plot data
|           multiqc | Report      : ../output/00.00-D-Apul-WGBS-reads-FastQC-MultiQC/raw-fastqc/multiqc_report.html
|           multiqc | Data        : ../output/00.00-D-Apul-WGBS-reads-FastQC-MultiQC/raw-fastqc/multiqc_data
|           multiqc | MultiQC complete

MultiQC on raw FastQs complete.

Removing FastQC zip files.

FastQC zip files removed.
# Load bash variables into memory
source .bashvars

# View directory contents
ls -lh ${raw_fastqc_dir}
total 6.9M
-rw-r--r-- 1 sam sam 579K Feb  6 12:41 413_S1_R1_001_fastqc.html
-rw-r--r-- 1 sam sam 586K Feb  6 12:42 413_S1_R2_001_fastqc.html
-rw-r--r-- 1 sam sam 580K Feb  6 12:47 423_S2_R1_001_fastqc.html
-rw-r--r-- 1 sam sam 582K Feb  6 12:48 423_S2_R2_001_fastqc.html
-rw-r--r-- 1 sam sam 578K Feb  6 12:49 427_S3_R1_001_fastqc.html
-rw-r--r-- 1 sam sam 581K Feb  6 12:49 427_S3_R2_001_fastqc.html
-rw-r--r-- 1 sam sam 577K Feb  6 12:46 439_S4_R1_001_fastqc.html
-rw-r--r-- 1 sam sam 581K Feb  6 12:45 439_S4_R2_001_fastqc.html
-rw-r--r-- 1 sam sam 576K Feb  6 12:49 467_S5_R1_001_fastqc.html
-rw-r--r-- 1 sam sam 579K Feb  6 12:50 467_S5_R2_001_fastqc.html
drwxr-xr-x 2 sam sam 4.0K Feb  6 12:50 multiqc_data
-rw-r--r-- 1 sam sam 1.3M Feb  6 12:50 multiqc_report.html
Ewels, Philip, MΓ₯ns Magnusson, Sverker Lundin, and Max KΓ€ller. 2016. β€œMultiQC: 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: "00.00-D-Apul-WGBS-reads-FastQC-MultiQC"
author: "Sam White"
date: "2025-02-06"
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
---

# Background

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

```{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
)
```

# 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 deep_dive_expression_dir=/home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/deep-dive-expression'
echo 'export output_dir_top=${deep_dive_expression_dir}/D-Apul/output/00.00-D-Apul-WGBS-reads-FastQC-MultiQC'
echo 'export raw_fastqc_dir=${output_dir_top}/raw-fastqc'
echo 'export raw_reads_dir=${deep_dive_expression_dir}/D-Apul/data/raw-fastqs'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/E5-coral-deep-dive-expression/genohub2216545/"'
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* RNA-seq FastQs

Reads are downloaded from <https://owl.fish.washington.edu/nightingales/E5-coral-deep-dive-expression/genohub2216545/>

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-deep-dive-expression/genohub2216545/`) so that we just end up with the reads.

## Inspect metadata file

```{r, inspect-metadta, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

head ${deep_dive_expression_dir}/M-multi-species/data/e5_deep_dive_WGBS_metadata.csv |
column -t -s","
```

## Download raw 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 $1}' ${deep_dive_expression_dir}/M-multi-species/data/e5_deep_dive_WGBS_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}"
```

## Verify raw read checksums

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

cd "${raw_reads_dir}"

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

# FastQC/MultiQC on raw reads

```{bash raw-fastqc-multiqc, engine='bash', eval=TRUE}
# 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 ""
```

```{bash, eval=TRUE}
# Load bash variables into memory
source .bashvars

# View directory contents
ls -lh ${raw_fastqc_dir}

```
