1 Background

This notebook reformats the original P.tuahiniensis GFF (Pocillopora_meandrina_HIv1.genes.gff3), to be compliant with the GFF3 standard. The genome was originally downloaded from here:

Despite the naming convention of the file, there are no designated gene regions. The reformatting will add a gene feature, based solely on the transcript coordinates. There aren’t any other features beyoned CDS and exon, so adding gene features which match the transcript regions is primarily just to meet the GFF3 standard.

Additionally, this notebook will generate a GTF for downstream use with HiSat2 for creating a genome index which incorporates exon/intron junctions and splice sites.

Unlike other scripts, this will output to F-Ptuh/data, instead of an output directory in ../output.

1.1 Software requirements

Requires genometools (GitHub repo) to be installed and in the system $PATH and is used for GFF3 validation/formatting.

Requires gffread (Pertea and Pertea 2020) which is used for GFF3-to-GTF conversion.

2 Load libraries

library(tidyverse)

3 Create a Bash variables file

This allows usage of Bash variables across R Markdown chunks.

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

echo "# Programs"
echo 'export gffread=~/programs/gffread/gffread'

echo "# Data directories"
echo 'export repo_dir=~/gitrepos/urol-e5/deep-dive-expression'
echo 'export data_dir=${repo_dir}/F-Ptuh/data'
echo ""

echo "# Input files"
echo 'export original_gff="Pocillopora_meandrina_HIv1.genes.gff3"'
echo 'export intermediate_gff="intermediate.gff3"'
echo 'export validated_gff="Pocillopora_meandrina_HIv1.genes-validated.gff3"'
echo 'export gtf="Pocillopora_meandrina_HIv1.genes-validated.gtf"'
echo ""

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

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

# Programs
export gffread=~/programs/gffread/gffread
# Data directories
export repo_dir=~/gitrepos/urol-e5/deep-dive-expression
export data_dir=${repo_dir}/F-Ptuh/data

# Input files
export original_gff="Pocillopora_meandrina_HIv1.genes.gff3"
export intermediate_gff="intermediate.gff3"
export validated_gff="Pocillopora_meandrina_HIv1.genes-validated.gff3"
export gtf="Pocillopora_meandrina_HIv1.genes-validated.gtf"

# Print formatting
export line="--------------------------------------------------------"

4 Read GFF3 file

gff <- read_delim("../data/Pocillopora_meandrina_HIv1.genes.gff3", 
                  delim="\t", 
                  col_names=c("seqid", "source", "type", "start", "end", 
                            "score", "strand", "phase", "attributes"),
                  show_col_types = FALSE)
str(gff)
spc_tbl_ [448,910 × 9] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
 $ seqid     : chr [1:448910] "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" ...
 $ source    : chr [1:448910] "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" ...
 $ type      : chr [1:448910] "transcript" "CDS" "exon" "CDS" ...
 $ start     : num [1:448910] 9649 9649 9649 10225 10225 ...
 $ end       : num [1:448910] 18299 9706 9706 10352 10352 ...
 $ score     : chr [1:448910] "." "." "." "." ...
 $ strand    : chr [1:448910] "-" "-" "-" "-" ...
 $ phase     : chr [1:448910] "." "1" "1" "0" ...
 $ attributes: chr [1:448910] "ID=Pocillopora_meandrina_HIv1___TS.g23774.t1" "Parent=Pocillopora_meandrina_HIv1___TS.g23774.t1" "Parent=Pocillopora_meandrina_HIv1___TS.g23774.t1" "Parent=Pocillopora_meandrina_HIv1___TS.g23774.t1" ...
 - attr(*, "spec")=
  .. cols(
  ..   seqid = col_character(),
  ..   source = col_character(),
  ..   type = col_character(),
  ..   start = col_double(),
  ..   end = col_double(),
  ..   score = col_character(),
  ..   strand = col_character(),
  ..   phase = col_character(),
  ..   attributes = col_character()
  .. )
 - attr(*, "problems")=<externalptr> 

5 Get unique types

# Get and print unique types, one per line
cat("Unique feature types in original GFF3:\n")
Unique feature types in original GFF3:
gff %>%
  distinct(type) %>%
  pull(type) %>%
  walk(~cat("-", .x, "\n"))
- transcript 
- CDS 
- exon 

6 Create gene entries from transcript entries

# Create gene entries
gene_entries <- gff %>%
  filter(type == "transcript") %>%
  mutate(
    type = "gene",
    attributes = paste0("ID=gene-", str_remove(attributes, "^ID="))
  )

str(gene_entries)
tibble [31,840 × 9] (S3: tbl_df/tbl/data.frame)
 $ seqid     : chr [1:31840] "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" ...
 $ source    : chr [1:31840] "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" ...
 $ type      : chr [1:31840] "gene" "gene" "gene" "gene" ...
 $ start     : num [1:31840] 9649 36139 58831 73152 93651 ...
 $ end       : num [1:31840] 18299 36387 71330 87762 96614 ...
 $ score     : chr [1:31840] "." "." "." "." ...
 $ strand    : chr [1:31840] "-" "+" "+" "+" ...
 $ phase     : chr [1:31840] "." "." "." "." ...
 $ attributes: chr [1:31840] "ID=gene-Pocillopora_meandrina_HIv1___TS.g23774.t1" "ID=gene-Pocillopora_meandrina_HIv1___RNAseq.g5056.t1" "ID=gene-Pocillopora_meandrina_HIv1___RNAseq.g5057.t1" "ID=gene-Pocillopora_meandrina_HIv1___RNAseq.g5058.t1" ...

7 Create mRNA features

# Create mRNA entries
mrna_entries <- gff %>%
  filter(type == "transcript") %>%
  mutate(
    type = "mRNA",
    gene_id = paste0("gene-", str_remove(attributes, "^ID=")),
    attributes = paste0("ID=mrna-", str_remove(attributes, "^ID="), 
                       ";Parent=", gene_id)
  ) %>%
  select(-gene_id)

str(mrna_entries)
tibble [31,840 × 9] (S3: tbl_df/tbl/data.frame)
 $ seqid     : chr [1:31840] "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" ...
 $ source    : chr [1:31840] "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" ...
 $ type      : chr [1:31840] "mRNA" "mRNA" "mRNA" "mRNA" ...
 $ start     : num [1:31840] 9649 36139 58831 73152 93651 ...
 $ end       : num [1:31840] 18299 36387 71330 87762 96614 ...
 $ score     : chr [1:31840] "." "." "." "." ...
 $ strand    : chr [1:31840] "-" "+" "+" "+" ...
 $ phase     : chr [1:31840] "." "." "." "." ...
 $ attributes: chr [1:31840] "ID=mrna-Pocillopora_meandrina_HIv1___TS.g23774.t1;Parent=gene-Pocillopora_meandrina_HIv1___TS.g23774.t1" "ID=mrna-Pocillopora_meandrina_HIv1___RNAseq.g5056.t1;Parent=gene-Pocillopora_meandrina_HIv1___RNAseq.g5056.t1" "ID=mrna-Pocillopora_meandrina_HIv1___RNAseq.g5057.t1;Parent=gene-Pocillopora_meandrina_HIv1___RNAseq.g5057.t1" "ID=mrna-Pocillopora_meandrina_HIv1___RNAseq.g5058.t1;Parent=gene-Pocillopora_meandrina_HIv1___RNAseq.g5058.t1" ...

8 Other features

Prepends a feature ID (e.g. cds-) to the corresponding attribute ID.

Also increments each exon feature type within each mRNA, starting at `.

# Process remaining features
other_features <- gff %>%
  group_by(seqid, group_id = cumsum(type == "transcript")) %>%
  mutate(
    mrna_id = first(if_else(type == "transcript", 
                           paste0("mrna-", str_remove(attributes, "^ID=")), 
                           NA_character_)),
    # Calculate exon number within each group
    exon_num = if_else(type == "exon",
                      dense_rank(if_else(type == "exon", row_number(), NA_real_)),
                      NA_real_),
    # Format attributes
    attributes = if_else(
      type != "transcript",
      paste0(
        "ID=", tolower(type), "-", str_remove(first(if_else(type == "transcript", 
                                                           attributes, 
                                                           NA_character_)), "^ID="),
        if_else(!is.na(exon_num),
                paste0("-", exon_num), ""),
        ";Parent=", mrna_id
      ),
      attributes
    )
  ) %>%
  ungroup() %>%
  filter(type != "transcript") %>%
  select(-group_id, -mrna_id, -exon_num)

str(other_features)
tibble [417,070 × 9] (S3: tbl_df/tbl/data.frame)
 $ seqid     : chr [1:417070] "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" "Pocillopora_meandrina_HIv1___Sc0000007" ...
 $ source    : chr [1:417070] "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" ...
 $ type      : chr [1:417070] "CDS" "exon" "CDS" "exon" ...
 $ start     : num [1:417070] 9649 9649 10225 10225 11330 ...
 $ end       : num [1:417070] 9706 9706 10352 10352 11655 ...
 $ score     : chr [1:417070] "." "." "." "." ...
 $ strand    : chr [1:417070] "-" "-" "-" "-" ...
 $ phase     : chr [1:417070] "1" "1" "0" "0" ...
 $ attributes: chr [1:417070] "ID=cds-Pocillopora_meandrina_HIv1___TS.g23774.t1;Parent=mrna-Pocillopora_meandrina_HIv1___TS.g23774.t1" "ID=exon-Pocillopora_meandrina_HIv1___TS.g23774.t1-1;Parent=mrna-Pocillopora_meandrina_HIv1___TS.g23774.t1" "ID=cds-Pocillopora_meandrina_HIv1___TS.g23774.t1;Parent=mrna-Pocillopora_meandrina_HIv1___TS.g23774.t1" "ID=exon-Pocillopora_meandrina_HIv1___TS.g23774.t1-2;Parent=mrna-Pocillopora_meandrina_HIv1___TS.g23774.t1" ...

9 Combine and sort

intermediate_gff <- bind_rows(
  gene_entries,
  mrna_entries,
  other_features
) %>%
  arrange(seqid, start)

str(intermediate_gff)
tibble [480,750 × 9] (S3: tbl_df/tbl/data.frame)
 $ seqid     : chr [1:480750] "Pocillopora_meandrina_HIv1___Sc0000000" "Pocillopora_meandrina_HIv1___Sc0000000" "Pocillopora_meandrina_HIv1___Sc0000000" "Pocillopora_meandrina_HIv1___Sc0000000" ...
 $ source    : chr [1:480750] "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" "AUGUSTUS" ...
 $ type      : chr [1:480750] "gene" "mRNA" "CDS" "exon" ...
 $ start     : num [1:480750] 10771 10771 10771 10771 12784 ...
 $ end       : num [1:480750] 23652 23652 11117 11117 12875 ...
 $ score     : chr [1:480750] "." "." "." "." ...
 $ strand    : chr [1:480750] "+" "+" "+" "+" ...
 $ phase     : chr [1:480750] "." "." "0" "0" ...
 $ attributes: chr [1:480750] "ID=gene-Pocillopora_meandrina_HIv1___RNAseq.g20902.t1" "ID=mrna-Pocillopora_meandrina_HIv1___RNAseq.g20902.t1;Parent=gene-Pocillopora_meandrina_HIv1___RNAseq.g20902.t1" "ID=cds-Pocillopora_meandrina_HIv1___RNAseq.g20902.t1;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g20902.t1" "ID=exon-Pocillopora_meandrina_HIv1___RNAseq.g20902.t1-1;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g20902.t1" ...

10 Unique features

# Get and print unique types, one per line
cat("Unique feature types in final GFF3:\n")
Unique feature types in final GFF3:
intermediate_gff %>%
  distinct(type) %>%
  pull(type) %>%
  walk(~cat("-", .x, "\n"))
- gene 
- mRNA 
- CDS 
- exon 

11 Write output

write_delim(intermediate_gff, 
            "../data/intermediate.gff3", 
            delim="\t",
            col_names=FALSE)

12 Validate GFF

Validate GFF using genometools gff3.

  • -tidy: Attempts to clean/fix any potential issues.

  • -checkids: Checks IDs.

  • -retainids: Retains IDs from input GFF instead of assigning new ones.

source .bashvars

gt gff3 \
-tidy \
-checkids \
-retainids \
"${data_dir}"/"${intermediate_gff}" \
> "${data_dir}"/"${validated_gff}" \
2> "${data_dir}"/gt_gff3_validation_errors.log

12.1 Check for error(s) in validation

Process would stop if error occurred, so only need to check end of file.

Warnings are expected, as this program warns the user when it is inserting text.

In this instance, when it is inserting GFF3-compliant comment lines denoting regions.

source .bashvars

tail "${data_dir}"/gt_gff3_validation_errors.log
warning: seqid "Pocillopora_meandrina_HIv1___xfSc0001231" on line 480507 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001273" on line 480513 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001275" on line 480595 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001276" on line 480599 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001280" on line 480627 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001281" on line 480643 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001290" on line 480673 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001321" on line 480725 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001331" on line 480737 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically
warning: seqid "Pocillopora_meandrina_HIv1___xpSc0001355" on line 480747 in file "/home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/intermediate.gff3" has not been previously introduced with a "##sequence-region" line, create such a line automatically

12.2 Inspect Validated GFF

source .bashvars

head "${data_dir}"/"${validated_gff}"
##gff-version 3
##sequence-region   Pocillopora_meandrina_HIv1___xfSc0000716 887 39392
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    gene    887 6811    .   -   .   ID=gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    mRNA    887 6811    .   -   .   ID=mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1;Parent=gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    CDS 887 973 .   -   0   ID=cds-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    887 973 .   -   0   ID=exon-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1-1;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    CDS 1828    1882    .   -   1   ID=cds-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    1828    1882    .   -   1   ID=exon-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1-2;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    CDS 2308    2371    .   -   2   ID=cds-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    2308    2371    .   -   2   ID=exon-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1-3;Parent=mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1

12.3 Remove intermediate GFF

source .bashvars

rm "${data_dir}"/"${intermediate_gff}"

13 Convert to GTF

source .bashvars

${gffread} \
-E \
-T \
"${data_dir}"/"${validated_gff}" \
> "${data_dir}"/"${gtf}" \
2> "${data_dir}"/gffread-gtf.log

13.1 Inspect GTF

source .bashvars

head "${data_dir}"/"${gtf}"
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    transcript  887 6811    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    887 973 .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    1828    1882    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    2308    2371    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    2891    2920    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    3013    3067    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    3369    3425    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    3790    3855    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    4639    4737    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";
Pocillopora_meandrina_HIv1___xfSc0000716    AUGUSTUS    exon    4985    5020    .   -   .   transcript_id "mrna-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1"; gene_id "gene-Pocillopora_meandrina_HIv1___RNAseq.g29951.t1";

13.2 Check GTF Log

source .bashvars

head "${data_dir}"/gffread-gtf.log
Command line was:
/home/sam/programs/gffread/gffread -E -T /home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/Pocillopora_meandrina_HIv1.genes-validated.gff3
   .. loaded 31840 genomic features from /home/sam/gitrepos/urol-e5/deep-dive-expression/F-Ptuh/data/Pocillopora_meandrina_HIv1.genes-validated.gff3

REFERENCES

Pertea, Geo, and Mihaela Pertea. 2020. “GFF Utilities: GffRead and GffCompare.” F1000Research 9 (September): 304. https://doi.org/10.12688/f1000research.23297.2.
Stephens, Timothy G, JunMo Lee, YuJin Jeong, Hwan Su Yoon, Hollie M Putnam, Eva Majerová, and Debashish Bhattacharya. 2022. “High-Quality Genome Assembles from Key Hawaiian Coral Species.” GigaScience 11. https://doi.org/10.1093/gigascience/giac098.
---
title: "P.tuahiniensis GFF reformatting"
author: "Sam White"
date: "2025-01-17"
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 notebook reformats the original *P.tuahiniensis* GFF ([Pocillopora_meandrina_HIv1.genes.gff3](../data/Pocillopora_meandrina_HIv1.genes.gff3)), to be compliant with the GFF3 standard. The genome was originally downloaded from here:

-   <http://cyanophora.rutgers.edu/Pocillopora_meandrina/> [@stephens2022]

Despite the naming convention of the file, there are no designated `gene` regions. The reformatting will add a `gene` feature, based solely on the `transcript` coordinates. There aren't any other features beyoned `CDS` and `exon`, so adding `gene` features which match the `transcript` regions is primarily just to meet the GFF3 standard.

Additionally, this notebook will generate a GTF for downstream use with HiSat2 for creating a genome index which incorporates exon/intron junctions and splice sites.

::: callout-note
Unlike other scripts, this will output to [`F-Ptuh/data`](../data), instead of an output directory in `../output`.
:::

## Software requirements

Requires [genometools](https://github.com/genometools/genometools) (GitHub repo) to be installed and in the system `$PATH` and is used for GFF3 validation/formatting.

Requires [gffread](https://ccb.jhu.edu/software/stringtie/gff.shtml#gffread) [@pertea2020] which is used for GFF3-to-GTF conversion.

## Inputs

-   [`Pocillopora_meandrina_HIv1.genes.gff3`](../data/Pocillopora_meandrina_HIv1.genes.gff3)

## Outputs

-   [`Pocillopora_meandrina_HIv1.genes-validated.gff3`](../data/Pocillopora_meandrina_HIv1.genes-validated.gff3)

-   [`Pocillopora_meandrina_HIv1.genes-validated.gtf`](../data/Pocillopora_meandrina_HIv1.genes-validated.gtf)

```{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
)
```

# Load libraries

```{r load-libraries, eval=TRUE}
library(tidyverse)
```

# 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 "# Programs"
echo 'export gffread=~/programs/gffread/gffread'

echo "# Data directories"
echo 'export repo_dir=~/gitrepos/urol-e5/deep-dive-expression'
echo 'export data_dir=${repo_dir}/F-Ptuh/data'
echo ""

echo "# Input files"
echo 'export original_gff="Pocillopora_meandrina_HIv1.genes.gff3"'
echo 'export intermediate_gff="intermediate.gff3"'
echo 'export validated_gff="Pocillopora_meandrina_HIv1.genes-validated.gff3"'
echo 'export gtf="Pocillopora_meandrina_HIv1.genes-validated.gtf"'
echo ""

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

cat .bashvars
```

# Read GFF3 file

```{r load-input-gff, eval=TRUE}
gff <- read_delim("../data/Pocillopora_meandrina_HIv1.genes.gff3", 
                  delim="\t", 
                  col_names=c("seqid", "source", "type", "start", "end", 
                            "score", "strand", "phase", "attributes"),
                  show_col_types = FALSE)
str(gff)
```

# Get unique types

```{r unqique-features, eval=TRUE}
# Get and print unique types, one per line
cat("Unique feature types in original GFF3:\n")
gff %>%
  distinct(type) %>%
  pull(type) %>%
  walk(~cat("-", .x, "\n"))
```

# Create gene entries from transcript entries

```{r create-gene-entries, eval=TRUE}
# Create gene entries
gene_entries <- gff %>%
  filter(type == "transcript") %>%
  mutate(
    type = "gene",
    attributes = paste0("ID=gene-", str_remove(attributes, "^ID="))
  )

str(gene_entries)
```

# Create mRNA features

```{r mrna-features, eval=TRUE}
# Create mRNA entries
mrna_entries <- gff %>%
  filter(type == "transcript") %>%
  mutate(
    type = "mRNA",
    gene_id = paste0("gene-", str_remove(attributes, "^ID=")),
    attributes = paste0("ID=mrna-", str_remove(attributes, "^ID="), 
                       ";Parent=", gene_id)
  ) %>%
  select(-gene_id)

str(mrna_entries)
```

# Other features

Prepends a feature ID (e.g. `cds-`) to the corresponding attribute ID.

Also increments each `exon` feature type within each mRNA, starting at \`.

```{r other-features, eval=TRUE}
# Process remaining features
other_features <- gff %>%
  group_by(seqid, group_id = cumsum(type == "transcript")) %>%
  mutate(
    mrna_id = first(if_else(type == "transcript", 
                           paste0("mrna-", str_remove(attributes, "^ID=")), 
                           NA_character_)),
    # Calculate exon number within each group
    exon_num = if_else(type == "exon",
                      dense_rank(if_else(type == "exon", row_number(), NA_real_)),
                      NA_real_),
    # Format attributes
    attributes = if_else(
      type != "transcript",
      paste0(
        "ID=", tolower(type), "-", str_remove(first(if_else(type == "transcript", 
                                                           attributes, 
                                                           NA_character_)), "^ID="),
        if_else(!is.na(exon_num),
                paste0("-", exon_num), ""),
        ";Parent=", mrna_id
      ),
      attributes
    )
  ) %>%
  ungroup() %>%
  filter(type != "transcript") %>%
  select(-group_id, -mrna_id, -exon_num)

str(other_features)
```

# Combine and sort

```{r combine-and-sort, eval=TRUE}
intermediate_gff <- bind_rows(
  gene_entries,
  mrna_entries,
  other_features
) %>%
  arrange(seqid, start)

str(intermediate_gff)
```

# Unique features

```{r unqique-features-updated-gff, eval=TRUE}
# Get and print unique types, one per line
cat("Unique feature types in final GFF3:\n")
intermediate_gff %>%
  distinct(type) %>%
  pull(type) %>%
  walk(~cat("-", .x, "\n"))
```

# Write output

```{r write-reformatted-gff, eval=TRUE}
write_delim(intermediate_gff, 
            "../data/intermediate.gff3", 
            delim="\t",
            col_names=FALSE)
```

# Validate GFF

Validate GFF using genometools `gff3`.

-   `-tidy`: Attempts to clean/fix any potential issues.

-   `-checkids`: Checks IDs.

-   `-retainids`: Retains IDs from input GFF instead of assigning new ones.

```{r validate-gff, engine='bash', eval=TRUE}
source .bashvars

gt gff3 \
-tidy \
-checkids \
-retainids \
"${data_dir}"/"${intermediate_gff}" \
> "${data_dir}"/"${validated_gff}" \
2> "${data_dir}"/gt_gff3_validation_errors.log
```

## Check for error(s) in validation

Process would stop if error occurred, so only need to check end of file.

::: callout-note
Warnings are expected, as this program warns the user when it is inserting text.

In this instance, when it is inserting GFF3-compliant comment lines denoting regions.
:::

```{r validate-gff-error-check, engine='bash', eval=TRUE}
source .bashvars

tail "${data_dir}"/gt_gff3_validation_errors.log
```

## Inspect Validated GFF

```{r validated-gff, engine='bash', eval=TRUE}
source .bashvars

head "${data_dir}"/"${validated_gff}"
```

## Remove intermediate GFF

```{r rm-intermediate-gff, engine='bash', eval=TRUE}
source .bashvars

rm "${data_dir}"/"${intermediate_gff}"
```

# Convert to GTF

```{r create-GTF, engine='bash', eval=TRUE}
source .bashvars

${gffread} \
-E \
-T \
"${data_dir}"/"${validated_gff}" \
> "${data_dir}"/"${gtf}" \
2> "${data_dir}"/gffread-gtf.log

```

## Inspect GTF

```{r inspect-GTF, engine='bash', eval=TRUE}
source .bashvars

head "${data_dir}"/"${gtf}"

```

## Check GTF Log

```{r check-GTF-log, engine='bash', eval=TRUE}
source .bashvars

head "${data_dir}"/gffread-gtf.log

```

# REFERENCES