Giter Club home page Giter Club logo

hprcy1's Introduction

HPRC year 1 pggb analysis pipeline

data

Get the assemblies.

cd assemblies
time cat ../Year1_F1_assemblies.index.txt| cut -f 3 | sed 's%s3://human-pangenomics/working/%https://s3-us-west-2.amazonaws.com/human-pangenomics/working/%' | parallel -j 4 'wget -q {} && echo got {}'

preprocessing

Prefix them and adjust their naming:

ls *.paternal.f1_assembly_v1.fa.gz | sort -V | while read f; do echo '#!/bin/bash\n'f=$f'\no=$(basename $f .f1_assembly_v1.fa.gz)\nzcat $f | sed s%#1#%.paternal#% | bgzip >$o.fa.gz && samtools faidx $o.fa.gz' | sbatch ; done
ls *.maternal.f1_assembly_v1.fa.gz | sort -V | while read f; do echo '#!/bin/bash\n'f=$f'\no=$(basename $f .f1_assembly_v1.fa.gz)\nzcat $f | sed s%#2#%.maternal#% | bgzip >$o.fa.gz && samtools faidx $o.fa.gz' | sbatch ; done

Apply name prefixes to the reference sequences.

( fastix -p 'grch38#' <(zcat GCA_000001405.15_GRCh38_no_alt_analysis_set.fna.gz) | bgzip >grch38.fna.gz && samtools faidx grch38.fna.gz ) &
( fastix -p 'chm13#' <(zcat chm13.draft_v1.0.fasta.gz) | bgzip >chm13.fa.gz && samtools faidx chm13.fa.gz ) &

Combine them into a single reference for competitive assignment of sample contigs to chromosome bins.

zcat chm13.fa.gz grch38.fna.gz >chm13+grch38.pan.fa && samtools faidx chm13+grch38.pan.fa

Partition the assembly contigs by chromosome by mapping each assembly against the scaffolded references, and then subsetting the graph. Here we use wfmash for the mapping.

cd ..
ls assemblies | grep 'maternal.fa.gz$\|paternal.fa.gz$' | cut -f 1-2 -d . | sort -V | uniq >haps.list
ref=assemblies/chm13+grch38.pan.fa
for hap in $(cat haps.list);
do
    in=assemblies/$hap.fa.gz
    out=alignments/$hap.vs.ref.paf
    sbatch -p lowmem -c 16 --wrap "wfmash -t 16 -m -N -p 90 $ref $in >$out" >>slurm.jobids
done

Subset by chromosome.

( seq 22; echo X; echo Y; echo M ) | while read i; do awk '$6 ~ "chr'$i'$"' $(ls alignments/*.vs.ref.paf | sort -V) | cut -f 1 | sort -V >parts/chr$i.contigs; done
( seq 22; echo X; echo Y; echo M ) | while read i; do sbatch -p lowmem -c 24 --wrap 'cat parts/chr'$i'.contigs | parallel -k -j 24 "s=\$(echo {} | cut -f 1 -d\#); samtools faidx assemblies/\$s.fa.gz {}" >parts/chr'$i'.pan.fa' >> slurm.jobids; done

Then we can merge both the reference scaffolds and HPRCy1 contigs:

( seq 22; echo X; echo Y; echo M ) | while read i; do sbatch -p lowmem -c 8 --wrap '( samtools faidx assemblies/chm13.fa.gz chm13#chr'$i'; samtools faidx assemblies/grch38.fna.gz grch38#chr'$i'; cat parts/chr'$i'.pan.fa ) >parts/chr'$i'.pan+refs.fa && samtools faidx parts/chr'$i'.pan+refs.fa' >> slurm.jobids; done

We will use these files directly in pggb.

graph generation

We apply pggb.

( seq 22; echo X; echo Y; echo M ) | while read i; do sbatch -p lowmem -c 48 --wrap 'cd /scratch && pggb -i /lizardfs/erikg/HPRC/year1/parts/chr'$i'.pan+refs.fa -s 20000 -l 200000 -p 98 -w 500000 -j 12000 -e 12000 -n 7 -t 48 -v -Y "#" -k 27 -B 20000000 -I 0.7 -R 0.2 -C 100,1000,10000,100::y:2,100::y:2:200000,100:/lizardfs/erikg/HPRC/year1/parts/refs/chm13.txt:n:2,100:/lizardfs/erikg/HPRC/year1/parts/refs/chm13+grch38.txt:n:2,100:/lizardfs/erikg/HPRC/year1/parts/refs/chm13+grch38.txt:n,100:/lizardfs/erikg/HPRC/year1/parts/refs/chm13+grch38.txt:y -o chr'$i'.pan+refs ; mv /scratch/chr'$i'.pan+refs /lizardfs/erikg/HPRC/year1/wgg' >>wgg.jobids; done

This runs on 9 nodes with AMD EPYC 7402P 24-Core processors and 128GB of RAM in around 12 hours.

Here odgi viz and Bandage visualizations for all the resulting chromosomes: http://hypervolu.me/~erik/HPRC/wgg/.

graph evaluation

We apply pgge.

Todo.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.