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Fast Reference-Guided Scaffolding of Genome Assembly Contigs

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RaGOO

A tool to order and orient genome assembly contigs via Minimap2 alignments to a reference genome.

Announcements

05/24/19 - Version 1.1 Released!

The primary feature update is misassembly correction, which utilizes read alignments to contigs to validate potential misassembly break points.

Description

Alonge M, Soyk S, Ramakrishnan S, Wang X, Goodwin S, Sedlazeck FJ, Lippman ZB, Schatz MC: Fast and accurate reference-guided scaffolding of draft genomes. bioRxiv 2019.

RaGOO is a tool for coalescing genome assembly contigs into pseudochromosomes via minimap2 alignments to a closely related reference genome. The focus of this tool is on practicality and therefore has the following features:

  1. Good performance. On a MacBook Pro using Arabidopsis data, pseudochromosome construction takes less than a minute and the whole pipeline with SV calling takes ~2 minutes.
  2. Intact ordering and orienting of contigs.
  3. Misassembly correction
  4. GFF lift-over
  5. Structural variant calling with and integrated version of Assemblytics
  6. Confidence scores associated with the grouping, localization, and orientation for each contig.

Installation

Dependencies

RaGOO should install on OSX and most standard flavors of Linux. RaGOO depends on Python3 as well as the following packages:

  1. intervaltree
  2. numpy
  3. Minimap2

The first two packages will be installed automatically when installing RaGOO. Minimap2 is straightforward to install following the instructions on its website. Place the minimap2 executable in your path, or specify its location with the -m parameter (see below).

Installation

Currently, the only way to install RaGOO is from source. Set up a virtualenv if desired, just be sure to make a python3 environment. Then, enter the following command to install RaGOO:

$ python setup.py install

Usage

usage: ragoo.py [-h] [-e <exclude.txt>] [-gff <annotations.gff>] [-m PATH]
                [-b] [-R <reads.fasta>] [-T sr] [-t 3] [-g 100] [-s] [-i 0.2]
                [-j <skip.txt>] [-C]
                <contigs.fasta> <reference.fasta>

order and orient contigs according to minimap2 alignments to a reference
(v1.1)

positional arguments:
  <contigs.fasta>       fasta file with contigs to be ordered and oriented
  <reference.fasta>     reference fasta file

optional arguments:
  -h, --help            show this help message and exit
  -e <exclude.txt>      single column text file of reference headers to ignore
  -gff <annotations.gff>
                        lift-over gff features to chimera-broken contigs
  -m PATH               path to minimap2 executable
  -b                    Break chimeric contigs
  -R <reads.fasta>      Turns on misassembly correction. Align provided reads
                        to the contigs to aid misassembly correction. fastq or
                        fasta allowed. Gzipped files allowed. Turns off '-b'.
  -T sr                 Type of reads provided by '-R'. 'sr' and 'corr'
                        accepted for short reads and error corrected long
                        reads respectively.
  -t 3                  Number of threads when running minimap.
  -g 100                Gap size for padding in pseudomolecules.
  -s                    Call structural variants
  -i 0.2                Minimum grouping confidence score needed to be
                        localized.
  -j <skip.txt>         List of contigs to automatically put in chr0.
  -C                    Write unplaced contigs individually instead of making a chr0

RaGOO will try to be smart and not redo intermediate analysis already done in previous executions of the pipeline. For example, if the Minimap2 alignment files are already present from previous runs, RaGOO will not recreate them. However, RaGOO is not that smart, so be sure to remove any files that you want to replace. To be safe, one can just remove the entire output directory if a new analysis is desired (see "Output Files" below).

Example Run

Both the assembly and the reference must be in the current workding directory, so please either copy them or create a symbolic link. For example:

$ cd /path/to/current/working/directory
$ ln -s /path/to/contigs.fasta
$ ln -s /path/to/reference.fasta
$ ragoo.py contigs.fasta reference.fasta

Output Files

All of the output will be in the "ragoo_output" directory. If breaking chimeric contigs and calling SVs, the contents of this output directory is as follows:

ragoo_output/
├── ctg_alignments
├── groupings
├── orderings
├── pm_alns
└── ragoo.fasta

ragoo.fasta

The final pseudomolecules. Any unlocalized contigs are concatenated and placed in "Chr0_RaGOO".

chimera_break

This directory contains the results from chimeric contig breaking. The most notable file here is the [prefix].intra.chimera.broken.fa, as this is the final corrected assembly used for downstream scaffolding. All of the downstream information, such as confidence scores, refers to this assembly, not the orignal assembly.

groupings

There is one file per chromosome listing the contigs assigned to that chromosome and their grouping confidence score. Please note that these contigs are not ordered. Also note that if chimeras were corrected, the headers in these files refer to the broken assembly in "chimera_break", and not the original assembly.

orderings

There is one file per chromosome showing the ordering, orientation (second column), location confidence scores (third column), and orientation confidence scores (fourth column).

pm_alignments

This directory contains all of the structural variant calling results. The final structural variants can be found in assemblytics_out.Assemblytics_structural_variants.bed. This bed file can be converted to VCF using SURVIVOR, though the last two columns (overlap with gaps) must be removed first. The alignment used to generate these variant calls are also present in this directory in SAM and delta format (pm_contigs_against_ref.sam and pm_contigs_against_ref.sam.delta), and can be used as input for external tools.

ctg_alignments

Contains the results from misassembly correction. It will contain the corrected contigs in fasta format, as well as an updated gff file if provided.

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Fast Reference-Guided Scaffolding of Genome Assembly Contigs

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