Extract mature miRNAs identified with matches to miRBase by ShortStack in 13.2.1-Pmea-sRNAseq-ShortStack-31bp-fastp-merged-cnidarian_miRBase.Rmd to FastA.


1 Create a Bash variables file

This allows usage of Bash variables across R Markdown chunks.

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

echo "# Trimmed FastQ naming pattern"

echo "# Data directories"
echo 'export deep_dive_dir=/home/shared/8TB_HDD_01/sam/gitrepos/deep-dive'
echo 'export shortstack_dir="${deep_dive_dir}/F-Pmea/output/13.2.1-Pmea-sRNAseq-ShortStack-31bp-fastp-merged-cnidarian_miRBase/ShortStack_out"'
echo 'export output_dir_top=${deep_dive_dir}/F-Pmea/output/13.2.1.1-Pmea-sRNAseq-ShortStack-FastA-extraction'
echo ""

echo "# Input/Output files"
echo 'export output_fasta="mature-miRBase-matches.fasta"'
echo 'export shortstack_fasta="mir.fasta"'
echo 'export shortstack_fasta_index="mir.fasta.fai"'
echo 'export shortstack_fixed_fasta="mir-coords-fixed.fasta"'
echo 'export shortstack_fixed_fasta_index="mir-coords-fixed.fasta.fai"'

echo 'export shortstack_results_file="Results.txt"'
echo 'export regions="mature-miRBase-regions.txt"'

echo ""

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

echo "# Programs"
echo 'export samtools=/home/shared/samtools-1.12/samtools'


} > .bashvars

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

# Trimmed FastQ naming pattern
# Data directories
export deep_dive_dir=/home/shared/8TB_HDD_01/sam/gitrepos/deep-dive
export shortstack_dir="${deep_dive_dir}/F-Pmea/output/13.2.1-Pmea-sRNAseq-ShortStack-31bp-fastp-merged-cnidarian_miRBase/ShortStack_out"
export output_dir_top=${deep_dive_dir}/F-Pmea/output/13.2.1.1-Pmea-sRNAseq-ShortStack-FastA-extraction

# Input/Output files
export output_fasta="mature-miRBase-matches.fasta"
export shortstack_fasta="mir.fasta"
export shortstack_fasta_index="mir.fasta.fai"
export shortstack_fixed_fasta="mir-coords-fixed.fasta"
export shortstack_fixed_fasta_index="mir-coords-fixed.fasta.fai"
export shortstack_results_file="Results.txt"
export regions="mature-miRBase-regions.txt"

# Set number of CPUs to use
export threads=40

# Programs
export samtools=/home/shared/samtools-1.12/samtools

2 Examine Results.txt

2.2 Columns of interest

Column 1: Region of miRNA match

Column 20: ShortStack miRNA? Y/N

Column 21: Match to miRBase? NA or miRBase match

# Load bash variables into memory
source .bashvars

awk '{print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t
Locus                                                 MIRNA  known_miRNAs
Pocillopora_meandrina_HIv1___Sc0000000:9092-9521      N      NA
Pocillopora_meandrina_HIv1___Sc0000000:53578-53997    N      NA
Pocillopora_meandrina_HIv1___Sc0000000:150243-150718  N      NA
Pocillopora_meandrina_HIv1___Sc0000000:173728-174150  N      apa-mir-2050_Exaiptasia_pallida_Baumgarten_et_al._2017_miR-2050;_Nve;_Spis;_Adi
Pocillopora_meandrina_HIv1___Sc0000000:187562-188076  N      NA
Pocillopora_meandrina_HIv1___Sc0000000:485730-486254  N      NA
Pocillopora_meandrina_HIv1___Sc0000000:496020-496432  N      NA
Pocillopora_meandrina_HIv1___Sc0000000:525310-527341  N      NA
Pocillopora_meandrina_HIv1___Sc0000000:541262-541723  N      NA

2.3 miRNAs of interest

# Load bash variables into memory
source .bashvars

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t

echo ""
echo "------------------------------------------"
echo ""
echo "Number of miRNAs matching miRBase:"

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | wc -l 
Pocillopora_meandrina_HIv1___Sc0000000:20372416-20372510  Y  spi-mir-temp-15_Stylophora_pistillata_Liew_et_al._2014_NA;spi-miR-L-temp-15_Stylophora_pistillata_Praher_et_al._2021_NA
Pocillopora_meandrina_HIv1___Sc0000003:495066-495158      Y  Adi-Mir-2036_3p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2036-3p;_nve-miR-2036-3p;_spi-miR-temp-30;eca-nve-F-miR-2036_Edwardsiella_carnea_Praher_et_al._2021_Transcriptome-level;spi-mir-temp-30_Stylophora_pistillata_Liew_et_al._2014_Close_match_of_nve-miR-2036.;ami-nve-F-miR-2036-3p_Acropora_millepora_Praher_et_al._2021_NA;spi-nve-F-miR-2036_Stylophora_pistillata_Praher_et_al._2021_NA
Pocillopora_meandrina_HIv1___Sc0000003:10129512-10129606  Y  spi-mir-temp-23_Stylophora_pistillata_Liew_et_al._2014_NA
Pocillopora_meandrina_HIv1___Sc0000003:10366033-10366130  Y  hsa-miR-100-5p;mmu-miR-100-5p;rno-miR-100-5p;gga-miR-100-5p;aga-miR-100;dre-miR-100-5p;ggo-miR-100;age-miR-100;ppa-miR-100;ppy-miR-100;ptr-miR-100;mml-miR-100-5p;sla-miR-100;lla-miR-100;fru-miR-100;tni-miR-100;xtr-miR-100;mdo-miR-100-5p;ame-miR-100-5p;oan-miR-100-5p;tca-miR-100-5p;bta-miR-100;lgi-miR-100;sko-miR-100;bmo-miR-100;eca-miR-100;ssc-miR-100;bma-miR-100b;aae-miR-100;cqu-miR-100-5p;tgu-miR-100-5p;nvi-miR-100;pma-miR-100a-5p;aca-miR-100;ola-miR-100;sha-miR-100;cgr-miR-100-5p;mse-miR-100;ccr-miR-100;ipu-miR-100;pmi-miR-100-5p;bbe-miR-100-5p;ssa-miR-100a-5p;cpi-miR-100-5p;ami-miR-100-5p;cli-miR-100-5p;pbv-miR-100-5p;chi-miR-100-5p;tch-miR-100-5p;pal-miR-100-5p;tcf-miR-100;abu-miR-100;mze-miR-100;nbr-miR-100;oni-miR-100;pny-miR-100;gmo-miR-100a-5p;pte-miR-100b-5p;xla-miR-100-5p;cpo-miR-100-5p;dno-miR-100-5p;ocu-miR-100-5p;mmr-miR-100;dma-miR-100;cja-miR-100;sbo-miR-100;pha-miR-100;nle-miR-100;oga-miR-100;dqu-miR-100-5p;pca-miR-100-5p;eca-nve-F-miR-100_Edwardsiella_carnea_Praher_et_al._2021_Transcriptome-level;mse-nve-F-miR-100_Metridium_senile_Praher_et_al._2021_Transcriptome-level;sca-nve-F-miR-100_Scolanthus_callimorphus_Praher_et_al._2021_Transcriptome-level;epa-nve-F-miR-100_Exaiptasia_pallida_Praher_et_al._2021_NA;spi-mir-temp-1_Stylophora_pistillata_Liew_et_al._2014_Matches_miR-100_family.;spi-nve-F-miR-100_Stylophora_pistillata_Praher_et_al._2021_NA;apa-mir-100_Exaiptasia_pallida_Baumgarten_et_al._2017_miR-100;_Nve;_Spis;_Adi;avi-miR-temp-100_Anemonia_viridis_Urbarova_et_al._2018_NA;miR-100_Nematostella_vectensis_Moran_et_al._2014_NA
Pocillopora_meandrina_HIv1___Sc0000005:601572-601666      Y  nve-miR-2023-3p;Adi-Mir-2023_3p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2023-3p;_nve-miR-2023-3p;_spi-miR-temp-4;eca-nve-F-miR-2023_Edwardsiella_carnea_Praher_et_al._2021_Transcriptome-level;mse-nve-F-miR-2023_Metridium_senile_Praher_et_al._2021_Transcriptome-level;sca-nve-miR-2023-3p_Scolanthus_callimorphus_Praher_et_al._2021_Transcriptome-level;epa-nve-F-miR-2023_Exaiptasia_pallida_Praher_et_al._2021_NA;spi-mir-temp-4_Stylophora_pistillata_Liew_et_al._2014_Exact_match_of_nve-miR-2023.;ami-nve-F-miR-2023-3p_Acropora_millepora_Praher_et_al._2021_NA;spi-nve-F-miR-2023_Stylophora_pistillata_Praher_et_al._2021_NA;miR-2023_Nematostella_vectensis_Moran_et_al._2014_NA;apa-mir-2023_Exaiptasia_pallida_Baumgarten_et_al._2017_miR-2023;_Nve;_Spis;_Adi;avi-miR-temp-2023_Anemonia_viridis_Urbarova_et_al._2018_NA
Pocillopora_meandrina_HIv1___Sc0000005:10385497-10385597  Y  spi-mir-temp-3_Stylophora_pistillata_Liew_et_al._2014_NA
Pocillopora_meandrina_HIv1___Sc0000009:3894900-3894992    Y  Adi-Mir-2030_5p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2030-5p;_nve-miR-2030-5p;_spi-miR-temp-40;adi-nve-F-miR-2030_Acropora_digitifera__Praher_et_al._2021_NA;ami-nve-F-miR-2030-5p_Acropora_millepora_Praher_et_al._2021_NA;eca-nve-F-miR-2030_Edwardsiella_carnea_Praher_et_al._2021_Transcriptome-level;spi-mir-temp-40_Stylophora_pistillata_Liew_et_al._2014_Close_match_of_nve-miR-2030;miR-2030_Nematostella_vectensis_Moran_et_al._2014_NA
Pocillopora_meandrina_HIv1___Sc0000014:2366038-2366132    Y  ami-nve-F-miR-2025-3p_Acropora_millepora_Praher_et_al._2021_NA;Adi-Mir-2025_3p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2025-3p;_nve-miR-2025-3p;adi-nve-F-miR-2025_Acropora_digitifera__Praher_et_al._2021_NA
Pocillopora_meandrina_HIv1___Sc0000021:4351817-4351909    Y  spi-mir-temp-34_Stylophora_pistillata_Liew_et_al._2014_NA

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

Number of miRNAs matching miRBase:
9

3 Examine ShortStack miRNA FastA

3.1 Head FastA

# Load bash variables into memory
source .bashvars

grep "^>" "${shortstack_dir}/${shortstack_fasta}" | head
>Cluster_19::Pocillopora_meandrina_HIv1___Sc0000000:818026-818120(+)
>Cluster_19.mature::Pocillopora_meandrina_HIv1___Sc0000000:818048-818070(+)
>Cluster_19.star::Pocillopora_meandrina_HIv1___Sc0000000:818078-818100(+)
>Cluster_34::Pocillopora_meandrina_HIv1___Sc0000000:2872018-2872110(+)
>Cluster_34.mature::Pocillopora_meandrina_HIv1___Sc0000000:2872040-2872061(+)
>Cluster_34.star::Pocillopora_meandrina_HIv1___Sc0000000:2872069-2872090(+)
>Cluster_356::Pocillopora_meandrina_HIv1___Sc0000000:20372415-20372510(-)
>Cluster_356.mature::Pocillopora_meandrina_HIv1___Sc0000000:20372468-20372490(-)
>Cluster_356.star::Pocillopora_meandrina_HIv1___Sc0000000:20372435-20372456(-)
>Cluster_751::Pocillopora_meandrina_HIv1___Sc0000001:19145765-19145858(+)

4 Fix FastA description starting coordinates

Needed, due to bug in code (GitHub Issue) which incorrectly calculates the starting coordinates in the FastA output. All other files where start/stop coordinates are conveyed are correct.

The incorrect starting coordinates cause an issue in downstream manipulation, because the FastA headers need to match the ShortStack results file.

# Load bash variables into memory
source .bashvars

awk '
/^>/ {
    # Split the line into main parts based on "::" delimiter
    split($0, main_parts, "::")
    
    # Extract the coordinate part and strand information separately
    coordinates_strand = main_parts[2]
    split(coordinates_strand, coord_parts, "[:-]")
    
    # Determine if the strand information is present and extract it
    strand = ""
    if (substr(coordinates_strand, length(coordinates_strand)) ~ /[\(\)\-\+]/) {
        strand = substr(coordinates_strand, length(coordinates_strand) - 1)
        coordinates_strand = substr(coordinates_strand, 1, length(coordinates_strand) - 2)
        split(coordinates_strand, coord_parts, "[:-]")
    }
    
    # Increment the starting coordinate by 1
    new_start = coord_parts[2] + 1
    
    # Reconstruct the description line with the new starting coordinate
    new_description = main_parts[1] "::" coord_parts[1] ":" new_start "-" coord_parts[3] strand
    
    # Print the modified description line
    print new_description
    
    # Skip to the next line to process the sequence line
    next
}

# For sequence lines, print them as-is
{
    print
}
' "${shortstack_dir}/${shortstack_fasta}" \
> "${shortstack_dir}/${shortstack_fixed_fasta}"

diff "${shortstack_dir}/${shortstack_fasta}" \
"${shortstack_dir}/${shortstack_fixed_fasta}" \
| head
1c1
< >Cluster_19::Pocillopora_meandrina_HIv1___Sc0000000:818026-818120(+)
---
> >Cluster_19::Pocillopora_meandrina_HIv1___Sc0000000:818027-818120(+)
3c3
< >Cluster_19.mature::Pocillopora_meandrina_HIv1___Sc0000000:818048-818070(+)
---
> >Cluster_19.mature::Pocillopora_meandrina_HIv1___Sc0000000:818049-818070(+)
5c5
< >Cluster_19.star::Pocillopora_meandrina_HIv1___Sc0000000:818078-818100(+)

5 Create regions file for use with samtools

5.1 Make FastA index

# Load bash variables into memory
source .bashvars

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}"


head "${shortstack_dir}/${shortstack_fixed_fasta_index}"
Cluster_19::Pocillopora_meandrina_HIv1___Sc0000000:818027-818120(+) 94  69  94  95
Cluster_19.mature::Pocillopora_meandrina_HIv1___Sc0000000:818049-818070(+)  22  240 22  23
Cluster_19.star::Pocillopora_meandrina_HIv1___Sc0000000:818079-818100(+)    22  337 22  23
Cluster_34::Pocillopora_meandrina_HIv1___Sc0000000:2872019-2872110(+)   92  431 92  93
Cluster_34.mature::Pocillopora_meandrina_HIv1___Sc0000000:2872041-2872061(+)    21  602 21  22
Cluster_34.star::Pocillopora_meandrina_HIv1___Sc0000000:2872070-2872090(+)  21  700 21  22
Cluster_356::Pocillopora_meandrina_HIv1___Sc0000000:20372416-20372510(-)    95  796 95  96
Cluster_356.mature::Pocillopora_meandrina_HIv1___Sc0000000:20372469-20372490(-) 22  973 22  23
Cluster_356.star::Pocillopora_meandrina_HIv1___Sc0000000:20372436-20372456(-)   21  1075    21  22
Cluster_751::Pocillopora_meandrina_HIv1___Sc0000001:19145766-19145858(+)    93  1171    93  94

5.2 Construct regions of miRBase matches for FastA index

# Load bash variables into memory
source .bashvars

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

{
   awk '$20 == "Y" && $21 != "NA" {print $2}' "${shortstack_dir}/${shortstack_results_file}" \
   | grep --fixed-strings --file - "${shortstack_dir}/${shortstack_fixed_fasta_index}" \
   | awk '{print $1}'
} \
> "${output_dir_top}/${regions}"

head "${output_dir_top}/${regions}"
Cluster_356::Pocillopora_meandrina_HIv1___Sc0000000:20372416-20372510(-)
Cluster_356.mature::Pocillopora_meandrina_HIv1___Sc0000000:20372469-20372490(-)
Cluster_356.star::Pocillopora_meandrina_HIv1___Sc0000000:20372436-20372456(-)
Cluster_1108::Pocillopora_meandrina_HIv1___Sc0000003:495066-495158(+)
Cluster_1108.mature::Pocillopora_meandrina_HIv1___Sc0000003:495117-495138(+)
Cluster_1108.star::Pocillopora_meandrina_HIv1___Sc0000003:495086-495108(+)
Cluster_1274::Pocillopora_meandrina_HIv1___Sc0000003:10129512-10129606(-)
Cluster_1274.mature::Pocillopora_meandrina_HIv1___Sc0000003:10129534-10129556(-)
Cluster_1274.star::Pocillopora_meandrina_HIv1___Sc0000003:10129564-10129586(-)
Cluster_1279::Pocillopora_meandrina_HIv1___Sc0000003:10366033-10366130(+)

6 Extract FastAs

# Load bash variables into memory
source .bashvars

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}" \
--region-file "${output_dir_top}/${regions}" \
> "${output_dir_top}/${output_fasta}"

head "${output_dir_top}/${output_fasta}"

echo ""
echo ""
echo ""
echo "Number of FastA sequences:"
grep "^>" --count "${output_dir_top}/${output_fasta}"
>Cluster_356::Pocillopora_meandrina_HIv1___Sc0000000:20372416-20372510(-)
ATATGCAGTGAATTAAGACACTAAACCAGACTAGGCTTCAGCATATTTATTTTGTCAAGT
CTAGGCTGGTTAGTTTTCTCACTTCACACTTCAAT
>Cluster_356.mature::Pocillopora_meandrina_HIv1___Sc0000000:20372469-20372490(-)
CTAAACCAGACTAGGCTTCAGC
>Cluster_356.star::Pocillopora_meandrina_HIv1___Sc0000000:20372436-20372456(-)
TCAAGTCTAGGCTGGTTAGTT
>Cluster_1108::Pocillopora_meandrina_HIv1___Sc0000003:495066-495158(+)
AAACTGCTGTCTGTGGACATGGTGAAAGTCGCTTCAATAAACATTTGACTGTATATTGTA
CGACTCTCATCGTGTCCAAGGCGGCCTCGACCG



Number of FastA sequences:
27
---
title: "13.2.1.1-Pmea-sRNAseq-ShortStack-FastA-extraction"
author: "Sam White"
date: "2024-05-22"
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
link-citations: 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
)
```

Extract mature miRNAs identified with matches to miRBase by ShortStack in [13.2.1-Pmea-sRNAseq-ShortStack-31bp-fastp-merged-cnidarian_miRBase.Rmd](./13.2.1-Pmea-sRNAseq-ShortStack-31bp-fastp-merged-cnidarian_miRBase.Rmd) to FastA.


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


# 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 "# Trimmed FastQ naming pattern"

echo "# Data directories"
echo 'export deep_dive_dir=/home/shared/8TB_HDD_01/sam/gitrepos/deep-dive'
echo 'export shortstack_dir="${deep_dive_dir}/F-Pmea/output/13.2.1-Pmea-sRNAseq-ShortStack-31bp-fastp-merged-cnidarian_miRBase/ShortStack_out"'
echo 'export output_dir_top=${deep_dive_dir}/F-Pmea/output/13.2.1.1-Pmea-sRNAseq-ShortStack-FastA-extraction'
echo ""

echo "# Input/Output files"
echo 'export output_fasta="mature-miRBase-matches.fasta"'
echo 'export shortstack_fasta="mir.fasta"'
echo 'export shortstack_fasta_index="mir.fasta.fai"'
echo 'export shortstack_fixed_fasta="mir-coords-fixed.fasta"'
echo 'export shortstack_fixed_fasta_index="mir-coords-fixed.fasta.fai"'

echo 'export shortstack_results_file="Results.txt"'
echo 'export regions="mature-miRBase-regions.txt"'

echo ""

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

echo "# Programs"
echo 'export samtools=/home/shared/samtools-1.12/samtools'


} > .bashvars

cat .bashvars
```

# Examine `Results.txt`

## Head
```{r head-results.txt, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

head "${shortstack_dir}/${shortstack_results_file}" | column -t
```

## Columns of interest

Column 1: Region of miRNA match

Column 20: ShortStack miRNA? Y/N

Column 21: Match to miRBase? NA or miRBase match

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

awk '{print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t
```

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

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t

echo ""
echo "------------------------------------------"
echo ""
echo "Number of miRNAs matching miRBase:"

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | wc -l 
```

# Examine ShortStack miRNA FastA

## Head FastA

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

grep "^>" "${shortstack_dir}/${shortstack_fasta}" | head
```

# Fix FastA description starting coordinates

Needed, due to [bug in code](https://github.com/MikeAxtell/ShortStack/issues/153#issuecomment-2122897486) (GitHub Issue) which incorrectly calculates the starting coordinates in the FastA output. All other files where start/stop coordinates are conveyed are correct.

The incorrect starting coordinates cause an issue in downstream manipulation, because the FastA headers need to match the ShortStack results file.

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

awk '
/^>/ {
    # Split the line into main parts based on "::" delimiter
    split($0, main_parts, "::")
    
    # Extract the coordinate part and strand information separately
    coordinates_strand = main_parts[2]
    split(coordinates_strand, coord_parts, "[:-]")
    
    # Determine if the strand information is present and extract it
    strand = ""
    if (substr(coordinates_strand, length(coordinates_strand)) ~ /[\(\)\-\+]/) {
        strand = substr(coordinates_strand, length(coordinates_strand) - 1)
        coordinates_strand = substr(coordinates_strand, 1, length(coordinates_strand) - 2)
        split(coordinates_strand, coord_parts, "[:-]")
    }
    
    # Increment the starting coordinate by 1
    new_start = coord_parts[2] + 1
    
    # Reconstruct the description line with the new starting coordinate
    new_description = main_parts[1] "::" coord_parts[1] ":" new_start "-" coord_parts[3] strand
    
    # Print the modified description line
    print new_description
    
    # Skip to the next line to process the sequence line
    next
}

# For sequence lines, print them as-is
{
    print
}
' "${shortstack_dir}/${shortstack_fasta}" \
> "${shortstack_dir}/${shortstack_fixed_fasta}"

diff "${shortstack_dir}/${shortstack_fasta}" \
"${shortstack_dir}/${shortstack_fixed_fasta}" \
| head


```

# Create regions file for use with `samtools`

## Make FastA index

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

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}"


head "${shortstack_dir}/${shortstack_fixed_fasta_index}"
```

## Construct regions of miRBase matches for FastA index


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

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

{
   awk '$20 == "Y" && $21 != "NA" {print $2}' "${shortstack_dir}/${shortstack_results_file}" \
   | grep --fixed-strings --file - "${shortstack_dir}/${shortstack_fixed_fasta_index}" \
   | awk '{print $1}'
} \
> "${output_dir_top}/${regions}"

head "${output_dir_top}/${regions}"

```



# Extract FastAs

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

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}" \
--region-file "${output_dir_top}/${regions}" \
> "${output_dir_top}/${output_fasta}"

head "${output_dir_top}/${output_fasta}"

echo ""
echo ""
echo ""
echo "Number of FastA sequences:"
grep "^>" --count "${output_dir_top}/${output_fasta}"

```