A Counting Tool for Pangenome Graphs

panacus is a tool for calculating statistics for GFA files. It supports GFA files with P and W lines, but requires that the graph is blunt, i.e., nodes do not overlap and consequently, each link (L) points from the end of one segment (S) to the start of another.

panacus supports the following calculations:

• coverage histogram
• pangenome growth statistics
• path-/group-resolved coverage table

Dependencies

panacus is written in RUST and requires a working RUST build system for installation. See here for more details.

• clap
• itertools
• quick-csv
• rand
• rayon
• regex
• rustc-hash
• strum, strum_macros

panacus provides a Python script for visualizing the calculated counting statistics and requires the following Python libraries:

• matplotlib
• numpy
• pandas
• scikit-learn
• scipy
• seaborn

Installation

From bioconda channel

Make sure you have conda/mamba installed!

mamba install -c conda-forge -c bioconda panacus

From binary release

Linux x86_64

wget --no-check-certificate -c https://github.com/marschall-lab/panacus/releases/download/0.2.3/panacus-0.2.3_linux_x86_64.tar.gz
tar -xzvf panacus-0.2.3_linux_x86_64.tar.gz

# suggestion: add tool to path in your ~/.bashrc
export PATH="$(readlink -f panacus-0.2.3_linux_x86_64/bin)":$PATH

# you are ready to go! 
panacus --help

Mac OSX arm64

wget --no-check-certificate -c https://github.com/marschall-lab/panacus/releases/download/0.2.3/panacus-0.2.3_macos_arm64.tar.gz
tar -xzvf panacus-0.2.3_macos_arm64.tar.gz

# suggestion: add tool to path in your ~/.bashrc
export PATH="$(readlink -f panacus-0.2.3_macos_arm64/bin)":$PATH

# you are ready to go! 
panacus --help

From repository

git clone git@github.com:marschall-lab/panacus.git

cd panacus
cargo build --release

mkdir bin
ln -s ../target/release/panacus bin/
ln -s ../scripts/panacus-visualize.py bin/panacus-visualize

# suggestion: add tool to path in your ~/.bashrc
export PATH="$(readlink -f bin)":$PATH

# you are ready to go! 
panacus --help

Run

$ panacus
Calculate count statistics for pangenomic data

Usage: panacus <COMMAND>

Commands:
  histgrowth          Run in default mode, i.e., run hist and growth successively and output the results of the latter
  hist                Calculate coverage histogram from GFA file
  growth              Construct growth table from coverage histogram
  ordered-histgrowth  Compute growth table for order specified in grouping file (or, if non specified, the order of paths in the GFA file)
  table               Compute coverage table for count type
  help                Print this message or the help of the given subcommand(s)

Options:
  -h, --help     Print help
  -V, --version  Print version

Pangenome Coverage and Growth Statistics

PGGB

Here's a quick example for computing coverage and pangenome growth statistics on the HPRC v.1.0 pggb, chr 22:

1. Download and unpack the graph:

wget https://s3-us-west-2.amazonaws.com/human-pangenomics/pangenomes/freeze/freeze1/pggb/chroms/chr22.hprc-v1.0-pggb.gfa.gz
gunzip chr22.hprc-v1.0-pggb.gfa.gz

2. Prepare file to select subset of paths corresponding to haplotypes:

grep '^P' chr22.hprc-v1.0-pggb.gfa | cut -f2 | grep -ve 'grch38\|chm13' > chr22.hprc-v1.0-pggb.paths.haplotypes.txt

3. Run panacus histgrowth to calculate coverage and pangenome growth for nodes (default) with coverage/quorum thresholds 1/0, 2/0, 1/1, 1/0.5, and 1/0.1 using up to 4 threads:

RUST_LOG=info panacus histgrowth -t4 -l 1,2,1,1,1 -q 0,0,1,0.5,0.1 -S -a -s chr22.hprc-v1.0-pggb.paths.haplotypes.txt chr22.hprc-v1.0-pggb.gfa > chr22.hprc-v1.0-pggb.histgrowth.node.tsv

4. Visualize coverage histogram and pangenome growth curve with estimated growth parameters:

panacus-visualize -e chr22.hprc-v1.0-pggb.histgrowth.node.tsv > chr22.hprc-v1.0-pggb.histgrowth.node.pdf

Minigraph-Cactus

This example shows how to ccompute coverage and pangenome growth statistics for the HPRC v.1.1 mc, chr 22:

1. Download the graph:

wget https://s3-us-west-2.amazonaws.com/human-pangenomics/pangenomes/freeze/freeze1/minigraph-cactus/hprc-v1.1-mc-grch38/hprc-v1.1-mc-grch38.chroms/chr22.vg

2. Convert to GFA (this graph is provided in VG format and requires conversion into GFA with vg:

vg view --gfa chr22.vg > chr22.hprc-v1.1-mc-grch38.gfa

3. Prepare file to select subset of paths corresponding to haplotypes:

grep -e '^W' chr22.hprc-v1.1-mc-grch38.gfa | cut -f2-6 | awk '{ print $1 "#" $2 "#" $3 ":" $4 "-" $5 }' > chr22.hprc-v1.1-mc-grch38.paths.txt
grep -ve 'grch38\|chm13' chr22.hprc-v1.1-mc-grch38.paths.txt > chr22.hprc-v1.1-mc-grch38.paths.haplotypes.txt

4. Run panacus histgrowth to calculate coverage and pangenome growth for nodes (default) with coverage/quorum thresholds 1/0, 2/0, 1/1, 1/0.5, and 1/0.1 using up to 4 threads:

RUST_LOG=info panacus histgrowth -t4 -l 1,2,1,1,1 -q 0,0,1,0.5,0.1 -S -a -s chr22.hprc-v1.1-mc-grch38.paths.haplotypes.txt chr22.hprc-v1.1-mc-grch38.gfa > chr22.hprc-v1.1-mc-grch38.histgrowth.node.tsv

5. Visualize coverage histogram and pangenome growth curve with estimated growth parameters:

panacus-visualize -e chr22.hprc-v1.1-mc-grch38.histgrowth.node.tsv > chr22.hprc-v1.1-mc-grch38.histgrowth.node.pdf

Generate an HTML report for your pangenome graph!

Instead of tab-separated tables, panacus supports for many commands also HTML output. The generated report page is interactive and self-contained.

1. Follow steps 1-2 from above.
2. Run panacus histgrowth with settings to output stats for all graph features (-c all), include coverage histogram in output (-a), and set output to HTML (-o html):

RUST_LOG=info panacus histgrowth -t4 -l 1,2,1,1,1 -q 0,0,1,0.5,0.1 -S -s chr22.hprc-v1.0-pggb.paths.haplotypes.txt -c all -a -o html chr22.hprc-v1.0-pggb.gfa > chr22.hprc-v1.0-pggb.histgrowth.html

👉 👉 👉 view the resulting HTML report here!

Figure legend

1. Navigate between coverage histograms for bp, node, and edge through tabs
2. Toggle log-scale on Y-axis
3. Download plot as PNG file
4. Download raw data as tab-separated-values (TSV) file
5. Choose between light and dark theme
6. Proceed to pangenome growth plots

Figure legend

1. Navigate between coverage histograms for bp, node, and edge through tabs
2. Disable curves that you do not want to view by clicking on legend
3. Download plot as PNG file
4. Download raw data as tab-separated-values (TSV) file
5. Choose between light and dark theme

Ordered Pangenome Growth Statistics

Sometimes it is interesting to look at the pangenome growth when samples are processed in a specific order rather than considering all all possible orders. panacus' capability to construct such plots is illustrated here by the example of the GRCh38-based HPRC v.1.0 minigraph-cactus graph (all chromosomes). The example reproduces Figure 3g(left) from the publication A draft human pangenome reference that quantifies pangenome growth of the amount of non-reference (GRCh38) sequence of the minigraph-cactus based human pangenome reference graph.

1. Download and unpack the graph:

wget https://s3-us-west-2.amazonaws.com/human-pangenomics/pangenomes/freeze/freeze1/minigraph-cactus/hprc-v1.0-mc-grch38.gfa.gz
gunzip hprc-v1.0-mc-grch38.gfa.gz

2. Establish order of samples in the growth statistics:

echo 'HG03492 HG00438 HG00621 HG00673 HG02080 HG00733 HG00735 HG00741 HG01071 HG01106 HG01109 HG01123 HG01175 HG01243 HG01258 HG01358 HG01361 HG01928
HG01952 HG01978 HG02148 HG01891 HG02055 HG02109 HG02145 HG02257 HG02486 HG02559 HG02572 HG02622 HG02630 HG02717 HG02723 HG02818 HG02886 HG03098
HG03453 HG03486 HG03516 HG03540 HG03579 NA18906 NA20129 NA21309' | tr ' ' '\n' > hprc-v1.0-mc-grch38.order.samples.txt

3. Exclude paths from reference genome GRCh38

grep '^P' hprc-v1.0-mc-grch38.gfa | cut -f2 | grep -ie 'grch38' > hprc-v1.0-mc-grch38.paths.grch38.txt

4. Run panacus ordered-histgrowth to calculate pangenome growth for basepairs with coverage thresholds 1,2,3, and 42 using up to 4 threads:

RUST_LOG=info panacus ordered-histgrowth -c bp -t4 -l 1,2,3,42 -S -e hprc-v1.0-mc-grch38.paths.grch38.txt hprc-v1.0-mc-grch38.gfa > hprc-v1.0-mc-grch38.ordered-histgrowth.bp.tsv

(The log will report some errors regarding missing order information of CHM13 paths. These paths will be ignored in the plot, which is the intended behavior of this command line call)

5. Visualize growth curve and estimate growth parameters :

panacus-visualize hprc-v1.0-mc-grch38.ordered-histgrowth.bp.tsv > hprc-v1.0-mc-grch38.ordered-histgrowth.bp.pdf