Code for trimming and QCing RNAseq data, to be used on Pacific cod RNAseq data, raw reads found here

FastQC/MultiQC assessment of raw and flexbar-trimmed sequences of

Inputs:

  • RNAseq gzipped FastQs (e.g. *.fastq.gz)

Outputs:

  • FastQC HTML reports for raw and trimmed reads.

  • MultiQC HTML summaries of FastQC for raw and trimmed reads.

  • Trimmed reads: *flexbar_trim.fastq.gz

(info about library prep/sequencing)


1 Create a Bash variables file

This allows usage of Bash variables (e.g. paths to common directories) across R Markdown chunks.

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

echo "# Data directories"
echo 'export cod_dir=/home/shared/8TB_HDD_02/shedurkin/project-cod-temperature'
echo 'export output_dir_top=${cod_dir}/output/05-cod-RNAseq-trimming'
echo 'export raw_fastqc_dir=${output_dir_top}/raw-fastqc'
echo 'export raw_reads_dir=${cod_dir}/data/05-cod-RNAseq-trimming/raw-reads'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/G_macrocephalus/30-943133806/"'
echo 'export trimmed_fastqc_dir=${output_dir_top}/trimmed-fastqc'
echo 'export trimmed_reads_dir=${output_dir_top}/trimmed-reads'
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 'export flexbar=/home/shared/flexbar-3.5.0-linux/flexbar'
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=20'
echo ""

echo "# Input/output files"
echo 'export fastq_checksums=input_fastq_checksums.md5'
echo 'export trimmed_checksums=trimmed_fastq_checksums.md5'
echo 'export NEB_adapters_fasta=NEB-adapters.fasta'
echo ""

echo "## Illumina adapters"
echo 'export first_adapter="AGATCGGAAGAGCACACGTCTGAACTCCAGTCA"'
echo 'export second_adapter="AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT"'
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 'export trimmed_fastqs_array=()'
echo ""

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

cat .bashvars
#### Assign Variables ####

# Data directories
export cod_dir=/home/shared/8TB_HDD_02/shedurkin/project-cod-temperature
export output_dir_top=${cod_dir}/output/05-cod-RNAseq-trimming
export raw_fastqc_dir=${output_dir_top}/raw-fastqc
export raw_reads_dir=${cod_dir}/data/05-cod-RNAseq-trimming/raw-reads
export raw_reads_url="https://owl.fish.washington.edu/nightingales/G_macrocephalus/30-943133806/"
export trimmed_fastqc_dir=${output_dir_top}/trimmed-fastqc
export trimmed_reads_dir=${output_dir_top}/trimmed-reads

# Paths to programs
export fastqc=/home/shared/FastQC-0.12.1/fastqc
export multiqc=/home/sam/programs/mambaforge/bin/multiqc
export flexbar=/home/shared/flexbar-3.5.0-linux/flexbar

# 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=20

# Input/output files
export fastq_checksums=input_fastq_checksums.md5
export trimmed_checksums=trimmed_fastq_checksums.md5
export NEB_adapters_fasta=NEB-adapters.fasta

## Illumina adapters
export first_adapter="AGATCGGAAGAGCACACGTCTGAACTCCAGTCA"
export second_adapter="AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT"

## Inititalize arrays
export fastq_array_R1=()
export fastq_array_R2=()
export raw_fastqs_array=()
export R1_names_array=()
export R2_names_array=()
export trimmed_fastqs_array=()

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

2 Download raw RNAseq reads

Reads are downloaded from:

The --cut-dirs 3 command cuts the preceding directory structure (i.e. nightingales/P_meandrina/30-852430235/) so that we just end up with the reads.

# Load bash variables into memory
source .bashvars

wget \
--directory-prefix ${raw_reads_dir} \
--recursive \
--no-check-certificate \
--continue \
--cut-dirs 3 \
--no-host-directories \
--no-parent \
--quiet \
--accept ${fastq_pattern} ${raw_reads_url}

ls -lh "${raw_reads_dir}"

2.1 Verify raw read checksums

# Load bash variables into memory
source .bashvars

cd "${raw_reads_dir}"

md5sum checksums.md5 --check

3 FastQC/MultiQC on raw reads

# Load bash variables into memory
source .bashvars

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


# Create array of raw 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}
total 21M
drwxr-xr-x 2 shedurkin labmembers 4.0K Oct 25 12:54 01_temp-size-analysis
drwxr-xr-x 3 shedurkin labmembers 4.0K Oct 25 12:54 03-transcriptome-annotation_cache
drwxr-xr-x 3 shedurkin labmembers 4.0K Oct 25 12:54 03-transcriptome-annotation_files
-rw-r--r-- 1 shedurkin labmembers  17M Oct 25 12:54 03-transcriptome-annotation.html
-rw-r--r-- 1 shedurkin labmembers 8.9K Oct 25 12:54 03-transcriptome-annotation.Rmd
-rw-r--r-- 1 shedurkin labmembers 612K Nov  2 11:00 04-RNASeq-sample-size.html
-rw-r--r-- 1 shedurkin labmembers 3.0K Nov  2 10:58 04-RNASeq-sample-size.md
-rw-r--r-- 1 shedurkin labmembers 2.5K Nov  2 11:00 04-RNASeq-sample-size.Rmd
-rw-r--r-- 1 shedurkin labmembers 1.1M Mar 22 12:17 05-cod-RNAseq-trimming.html
-rw-r--r-- 1 shedurkin labmembers  15K Mar 22 12:15 05-cod-RNAseq-trimming.md
-rw-r--r-- 1 shedurkin labmembers  11K Mar 22 12:17 05-cod-RNAseq-trimming.Rmd
-rw-r--r-- 1 shedurkin labmembers 1.1M Mar 19 14:53 06-cod-RNAseq-alignment.html
-rw-r--r-- 1 shedurkin labmembers  35K Mar 19 14:43 06-cod-RNAseq-alignment.md
-rw-r--r-- 1 shedurkin labmembers 8.1K Mar 19 14:52 06-cod-RNAseq-alignment.Rmd
-rw-r--r-- 1 shedurkin labmembers 8.0K Mar 21 15:59 07-cod-RNAseq-DESeq2.Rmd
-rw-r--r-- 1 shedurkin labmembers  318 Oct 25 12:54 Rplot001.png
drwxr-xr-x 3 shedurkin labmembers 4.0K Oct 25 12:54 rsconnect
-rw-r--r-- 1 shedurkin labmembers 1.7M Oct 25 12:54 Temp-Size-Graph-Box-Line.html
-rw-r--r-- 1 shedurkin labmembers 3.7K Oct 25 12:54 Temp-Size-Graph-Box-Line.log
-rw-r--r-- 1 shedurkin labmembers 2.7K Oct 25 12:54 Temp-Size-Graph-Box-Line.Rmd
-rw-r--r-- 1 shedurkin labmembers  14K Oct 25 12:54 Temp-Size-Graph-Box-Line.tex

Samples 10, 13, 19, 37, 41, 48, 98, 129, 149, 57-S, 58-S had low quantity/quality of RNA after RNA extraction (see Azenta RNA extraction QC report)

Notes: - Not enough starting material: 19, 41, 48, 98, 129, 149, - RIN < 6: 10, 13, 37, 57-S, 58-S - DV200 < 70: 19, 41, 48, 98, 129, 149, 57-S

RNA Integrity Number (RIN) is a measure of RNA quality ranging from 1 - 10, with 1 representing highly degraded RNA and 10 representing intact RNA. Most researchers aim for RIN values of > 8, but Azenta considers anything > 6 acceptable. It is also generally assumed that RIN is representative of mRNA quality. It’s worth noting there is some debate surrounding the accuracy of RIN as a measure of RNA integrity – see ScienceDirect’s summary of RIN

DV200 is another measure of RNA quality that represents the percentage of RNA fragments of >200 nucleotides in length. A recent study suggested that DV200 may be a more meaningful assessment of mRNA quality than RIN (Matsubara et al 2020) for NGS, but both are still commonly used.

4 Trimming with flexbar

# Load bash variables into memory
source .bashvars

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

# Create arrays of FastQ R1 files and sample names
# Do NOT quote R1_fastq_pattern variable
for fastq in ${R1_fastq_pattern}
do
  fastq_array_R1+=("${fastq}")

  # Use parameter substitution to remove all text up to and including last "." from
  # right side of string.
  R1_names_array+=("${fastq%%.*}")
done

# Create array of FastQ R2 files
# Do NOT quote R2_fastq_pattern variable
for fastq in ${R2_fastq_pattern}
do
  fastq_array_R2+=("${fastq}")

  # Use parameter substitution to remove all text up to and including last "." from
  # right side of string.
  R2_names_array+=("${fastq%%.*}")
done


############ RUN FLEXBAR ############
# Uses parameter substitution (e.g. ${R1_sample_name%%_*})to rm the _R[12]
# Uses built-in adapter presets (https://github.com/seqan/flexbar/wiki/Manual#adapter-removal-presets)
# --adapter-preset TruSeq: several adapter presets for Illumina libraries are included in Flexbar
# --adapter-pair-overlap ON: Recommended by NEB sRNA kit
# --qtrim-threshold 25: Minimum quality
# --qtrim-format i1.8: Sets sequencer as Illumina
# --target: Sets file naming patterns
# --zip-output GZ: Sets type of compression. GZ = gzip
#

# Run flexbar on files
echo "Beginning flexbar trimming."
echo ""

time \
for index in "${!fastq_array_R1[@]}"
do
  R1_sample_name="${R1_names_array[index]}"
  R2_sample_name="${R2_names_array[index]}"

  # Begin flexbar trimming
  ${programs_array[flexbar]} \
  --reads ${fastq_array_R1[index]} \
  --reads2 ${fastq_array_R2[index]}  \
  --adapter-preset "TruSeq" \
  --adapter-pair-overlap ON \
  --qtrim-format i1.8 \
  --qtrim-threshold 25 \
  --threads ${threads} \
  --target "${trimmed_reads_dir}/${R1_sample_name%%_*}.flexbar_trim.R" \
  --zip-output GZ
        
    # Move to trimmed directory
    # This is done so checksums file doesn't include excess path
    cd ${trimmed_reads_dir}

    # Generate md5 checksums for newly trimmed files
    {
      md5sum "${R1_sample_name%%_*}.flexbar_trim.R_1.fastq.gz"
      md5sum "${R2_sample_name%%_*}.flexbar_trim.R_2.fastq.gz"
    } >> "${trimmed_checksums}"
    
    # Change back to to raw reads directory
    cd "${raw_reads_dir}"

done

echo ""
echo "flexbar trimming complete."
echo ""

echo "Trimmed FastQs MD5 checksums:"
echo ""

cat "${trimmed_reads_dir}/${trimmed_checksums}"

############ END FLEXBAR ############

5 FastQC/MultiQC on trimmed reads

# Load bash variables into memory
source .bashvars

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

### NOTE: Do NOT quote raw_fastqc_list
# Create array of trimmed FastQs
trimmed_fastqs_array=(${trimmed_reads_dir}/${fastq_pattern})

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

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

# Run FastQC
${programs_array[fastqc]} \
--threads ${threads} \
--outdir ${trimmed_fastqc_dir} \
--quiet \
${trimmed_fastqc_list}

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

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

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

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

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

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

echo "Removing FastQC zip files."
echo ""
rm ${trimmed_fastqc_dir}/*.zip
echo "FastQC zip files removed."
echo ""
# View directory contents
ls -lh ${trimmed_fastqc_dir}
total 21M
drwxr-xr-x 2 shedurkin labmembers 4.0K Oct 25 12:54 01_temp-size-analysis
drwxr-xr-x 3 shedurkin labmembers 4.0K Oct 25 12:54 03-transcriptome-annotation_cache
drwxr-xr-x 3 shedurkin labmembers 4.0K Oct 25 12:54 03-transcriptome-annotation_files
-rw-r--r-- 1 shedurkin labmembers  17M Oct 25 12:54 03-transcriptome-annotation.html
-rw-r--r-- 1 shedurkin labmembers 8.9K Oct 25 12:54 03-transcriptome-annotation.Rmd
-rw-r--r-- 1 shedurkin labmembers 612K Nov  2 11:00 04-RNASeq-sample-size.html
-rw-r--r-- 1 shedurkin labmembers 3.0K Nov  2 10:58 04-RNASeq-sample-size.md
-rw-r--r-- 1 shedurkin labmembers 2.5K Nov  2 11:00 04-RNASeq-sample-size.Rmd
-rw-r--r-- 1 shedurkin labmembers 1.1M Mar 22 12:17 05-cod-RNAseq-trimming.html
-rw-r--r-- 1 shedurkin labmembers  15K Mar 22 12:15 05-cod-RNAseq-trimming.md
-rw-r--r-- 1 shedurkin labmembers  11K Mar 22 12:17 05-cod-RNAseq-trimming.Rmd
-rw-r--r-- 1 shedurkin labmembers 1.1M Mar 19 14:53 06-cod-RNAseq-alignment.html
-rw-r--r-- 1 shedurkin labmembers  35K Mar 19 14:43 06-cod-RNAseq-alignment.md
-rw-r--r-- 1 shedurkin labmembers 8.1K Mar 19 14:52 06-cod-RNAseq-alignment.Rmd
-rw-r--r-- 1 shedurkin labmembers 8.0K Mar 21 15:59 07-cod-RNAseq-DESeq2.Rmd
-rw-r--r-- 1 shedurkin labmembers  318 Oct 25 12:54 Rplot001.png
drwxr-xr-x 3 shedurkin labmembers 4.0K Oct 25 12:54 rsconnect
-rw-r--r-- 1 shedurkin labmembers 1.7M Oct 25 12:54 Temp-Size-Graph-Box-Line.html
-rw-r--r-- 1 shedurkin labmembers 3.7K Oct 25 12:54 Temp-Size-Graph-Box-Line.log
-rw-r--r-- 1 shedurkin labmembers 2.7K Oct 25 12:54 Temp-Size-Graph-Box-Line.Rmd
-rw-r--r-- 1 shedurkin labmembers  14K Oct 25 12:54 Temp-Size-Graph-Box-Line.tex

6 Summary

---
title: "05-cod-RNAseq-trimming"
author: "Kathleen Durkin"
date: "2024-03-04"
always_allow_html: true
output: 
  bookdown::html_document2:
    theme: cosmo
    toc: true
    toc_float: true
    number_sections: true
    code_folding: show
    code_download: true
  github_document:
    toc: true
    toc_depth: 3
    number_sections: true
    html_preview: true 
---

```{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
)
```

Code for trimming and QCing RNAseq data, to be used on [Pacific cod RNAseq data](https://shedurkin.github.io/Roberts-LabNotebook/posts/projects/pacific_cod/2023_12_13_pacific_cod.html), raw reads found [here](https://owl.fish.washington.edu/nightingales/G_macrocephalus/30-943133806/)

FastQC/MultiQC assessment of raw and [flexbar](https://github.com/seqan/flexbar)-trimmed sequences of 

Inputs:

- RNAseq gzipped FastQs (e.g. `*.fastq.gz`)

Outputs:

- [`FastQC`](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) HTML reports for raw and trimmed reads.

- [`MultiQC`](https://multiqc.info/) HTML summaries of [`FastQC`](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) for raw and trimmed reads.

- Trimmed reads: `*flexbar_trim.fastq.gz`

(info about library prep/sequencing)


---



# Create a Bash variables file

This allows usage of Bash variables (e.g. paths to common directories) across R Markdown chunks.
```{r save-bash-variables-to-rvars-file, engine='bash', eval=TRUE}
{
echo "#### Assign Variables ####"
echo ""

echo "# Data directories"
echo 'export cod_dir=/home/shared/8TB_HDD_02/shedurkin/project-cod-temperature'
echo 'export output_dir_top=${cod_dir}/output/05-cod-RNAseq-trimming'
echo 'export raw_fastqc_dir=${output_dir_top}/raw-fastqc'
echo 'export raw_reads_dir=${cod_dir}/data/05-cod-RNAseq-trimming/raw-reads'
echo 'export raw_reads_url="https://owl.fish.washington.edu/nightingales/G_macrocephalus/30-943133806/"'
echo 'export trimmed_fastqc_dir=${output_dir_top}/trimmed-fastqc'
echo 'export trimmed_reads_dir=${output_dir_top}/trimmed-reads'
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 'export flexbar=/home/shared/flexbar-3.5.0-linux/flexbar'
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=20'
echo ""

echo "# Input/output files"
echo 'export fastq_checksums=input_fastq_checksums.md5'
echo 'export trimmed_checksums=trimmed_fastq_checksums.md5'
echo 'export NEB_adapters_fasta=NEB-adapters.fasta'
echo ""

echo "## Illumina adapters"
echo 'export first_adapter="AGATCGGAAGAGCACACGTCTGAACTCCAGTCA"'
echo 'export second_adapter="AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT"'
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 'export trimmed_fastqs_array=()'
echo ""

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

cat .bashvars
```


# Download raw RNAseq reads

Reads are downloaded from:

The `--cut-dirs 3` command cuts the preceding directory structure (i.e. `nightingales/P_meandrina/30-852430235/`) so that we just end up with 
the reads.

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

wget \
--directory-prefix ${raw_reads_dir} \
--recursive \
--no-check-certificate \
--continue \
--cut-dirs 3 \
--no-host-directories \
--no-parent \
--quiet \
--accept ${fastq_pattern} ${raw_reads_url}

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

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

cd "${raw_reads_dir}"

md5sum checksums.md5 --check
```


# FastQC/MultiQC on raw reads
```{r raw-fastqc-multiqc, engine='bash', eval=FALSE}
# Load bash variables into memory
source .bashvars

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


# Create array of raw 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 ""
```

```{r view-raw-reads-QC-files, engine='bash', eval=TRUE}
# View directory contents
ls -lh ${raw_fastqc_dir}
```

Samples 10, 13, 19, 37, 41, 48, 98, 129, 149, 57-S, 58-S had low quantity/quality of RNA after RNA extraction (see [Azenta RNA extraction QC report](https://github.com/RobertsLab/project-cod-temperature/blob/main/data/Sample.QC.report.of_30-943133806_240118025106.pdf))

**Notes:**
- Not enough starting material: 19, 41, 48, 98, 129, 149, 
- RIN < 6: 10, 13, 37, 57-S, 58-S
- DV200 < 70: 19, 41, 48, 98, 129, 149, 57-S

RNA Integrity Number (RIN) is a measure of RNA quality ranging from 1 - 10, with 1 representing highly degraded RNA and 10 representing intact RNA. Most researchers aim for RIN values of > 8, but Azenta considers anything > 6 acceptable. It is also generally assumed that RIN is representative of mRNA quality. It's worth noting there is some debate surrounding the accuracy of RIN as a measure of RNA integrity -- see [ScienceDirect's summary of RIN](https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/rna-integrity-number)

DV200 is another measure of RNA quality that represents the percentage of RNA fragments of >200 nucleotides in length. A recent study suggested that DV200 may be a more meaningful assessment of mRNA quality than RIN ([Matsubara et al 2020](https://doi.org/10.1155/2020/9349132)) for NGS, but both are still commonly used.


# Trimming with [flexbar](https://github.com/seqan/flexbar)

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

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

# Create arrays of FastQ R1 files and sample names
# Do NOT quote R1_fastq_pattern variable
for fastq in ${R1_fastq_pattern}
do
  fastq_array_R1+=("${fastq}")

  # Use parameter substitution to remove all text up to and including last "." from
  # right side of string.
  R1_names_array+=("${fastq%%.*}")
done

# Create array of FastQ R2 files
# Do NOT quote R2_fastq_pattern variable
for fastq in ${R2_fastq_pattern}
do
  fastq_array_R2+=("${fastq}")

  # Use parameter substitution to remove all text up to and including last "." from
  # right side of string.
  R2_names_array+=("${fastq%%.*}")
done


############ RUN FLEXBAR ############
# Uses parameter substitution (e.g. ${R1_sample_name%%_*})to rm the _R[12]
# Uses built-in adapter presets (https://github.com/seqan/flexbar/wiki/Manual#adapter-removal-presets)
# --adapter-preset TruSeq: several adapter presets for Illumina libraries are included in Flexbar
# --adapter-pair-overlap ON: Recommended by NEB sRNA kit
# --qtrim-threshold 25: Minimum quality
# --qtrim-format i1.8: Sets sequencer as Illumina
# --target: Sets file naming patterns
# --zip-output GZ: Sets type of compression. GZ = gzip
#

# Run flexbar on files
echo "Beginning flexbar trimming."
echo ""

time \
for index in "${!fastq_array_R1[@]}"
do
  R1_sample_name="${R1_names_array[index]}"
  R2_sample_name="${R2_names_array[index]}"

  # Begin flexbar trimming
  ${programs_array[flexbar]} \
  --reads ${fastq_array_R1[index]} \
  --reads2 ${fastq_array_R2[index]}  \
  --adapter-preset "TruSeq" \
  --adapter-pair-overlap ON \
  --qtrim-format i1.8 \
  --qtrim-threshold 25 \
  --threads ${threads} \
  --target "${trimmed_reads_dir}/${R1_sample_name%%_*}.flexbar_trim.R" \
  --zip-output GZ
        
    # Move to trimmed directory
    # This is done so checksums file doesn't include excess path
    cd ${trimmed_reads_dir}

    # Generate md5 checksums for newly trimmed files
    {
      md5sum "${R1_sample_name%%_*}.flexbar_trim.R_1.fastq.gz"
      md5sum "${R2_sample_name%%_*}.flexbar_trim.R_2.fastq.gz"
    } >> "${trimmed_checksums}"
    
    # Change back to to raw reads directory
    cd "${raw_reads_dir}"

done

echo ""
echo "flexbar trimming complete."
echo ""

echo "Trimmed FastQs MD5 checksums:"
echo ""

cat "${trimmed_reads_dir}/${trimmed_checksums}"

############ END FLEXBAR ############
```


# FastQC/MultiQC on trimmed reads

```{r FastQC-MultiQC-trimmed-reads, engine='bash', eval=FALSE}
# Load bash variables into memory
source .bashvars

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

### NOTE: Do NOT quote raw_fastqc_list
# Create array of trimmed FastQs
trimmed_fastqs_array=(${trimmed_reads_dir}/${fastq_pattern})

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

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

# Run FastQC
${programs_array[fastqc]} \
--threads ${threads} \
--outdir ${trimmed_fastqc_dir} \
--quiet \
${trimmed_fastqc_list}

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

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

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

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

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

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

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

```{r view-trimmed-reads-QC-files, engine='bash', eval=TRUE}
# View directory contents
ls -lh ${trimmed_fastqc_dir}
```

# Summary