checkm2

Tags: assembly-quality microbial-genomes machine-learning completeness bactopia-tool

Machine learning-based assessment of microbial genome assembly quality.

This Bactopia Tool uses CheckM2 to assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes using advanced machine learning approaches.

Usage

Bactopia CLI:

bactopia --wf checkm2 \
  --bactopia /path/to/your/bactopia/results

Nextflow:

nextflow run bactopia/bactopia/workflows/bactopia-tools/checkm2/main.nf \
  --bactopia /path/to/your/bactopia/results

Outputs

Expected Output Files

<BACTOPIA_DIR>
├── <SAMPLE_NAME>
│   └── tools
│       └── checkm2-<TIMESTAMP>
│           ├── <SAMPLE_NAME>.tsv
│           ├── logs
│           │   ├── checkm2.log
│           │   ├── nf.command.{begin,err,log,out,run,sh,trace}
│           │   └── versions.yml
│           └── supplemental
│               ├── diamond_output
│               │   └── DIAMOND_RESULTS.tsv
│               └── protein_files
│                   └── <SAMPLE_NAME>.faa.gz
└── bactopia-runs
    └── checkm2-<TIMESTAMP>
        ├── merged-results
        │   ├── checkm2.tsv
        │   └── logs
        │       └── checkm2-concat
        │           ├── nf.command.{begin,err,log,out,run,sh,trace}
        │           └── versions.yml
        └── nf-reports
            ├── checkm2-dag.dot
            ├── checkm2-report.html
            └── checkm2-timeline.html

Quality Assessment

File	Description
diamond_output/**	Directory with intermediate results from CheckM2 processing
protein_files/**	Directory containing protein files used for analysis
quality_report.tsv	Output file with completeness statistics

Merged Results

File	Description
checkm2.tsv	Merged TSV file with CheckM2 results from all samples

Audit Trail

Below are files that can assist you in understanding which parameters and program versions were used.

Logs

Each process that is executed will have a folder named logs. In this folder are helpful files for you to review if the need ever arises.

Extension	Description
.begin	An empty file used to designate the process started
.err	Contains STDERR outputs from the process
.log	Contains both STDERR and STDOUT outputs from the process
.out	Contains STDOUT outputs from the process
.run	The script Nextflow uses to stage/unstage files and queue processes based on given profile
.sh	The script executed by bash for the process
.trace	The Nextflow trace report for the process
versions.yml	A YAML formatted file with program versions

Nextflow Reports

These Nextflow reports provide great a great summary of your run. These can be used to optimize resource usage and estimate expected costs if using cloud platforms.

Filename	Description
checkm2-dag.dot	The Nextflow DAG visualization
checkm2-report.html	The Nextflow Execution Report
checkm2-timeline.html	The Nextflow Timeline Report
checkm2-trace.txt	The Nextflow Trace report

Parameters

Required Parameters

Define where the pipeline should find input data and save output data.

Parameter	Type	Default	Description
--bactopia	string		The path to bactopia results to use as inputs

CheckM2 Database Download Parameters

Parameter	Type	Default	Description
--checkm2_db	string		Path to a folder containing CheckM2 database (or where it should be downloaded to).
--download_checkm2	boolean	false	Download the CheckM2 database to the path given by --checkm2_db

CheckM2 Parameters

Parameter	Type	Default	Description
--checkm2_lowmem	boolean		Low memory mode. Reduces DIAMOND blocksize to significantly reduce RAM usage at the expense of longer runtime
--checkm2_general	boolean		Force the use of the general quality prediction model (gradient boost)
--checkm2_specific	boolean		Force the use of the specific quality prediction model (neural network)
--checkm2_allmodels	boolean		Output quality prediction for both models for each genome.
--checkm2_genes	boolean		Treat input files as protein files. [Default: False]
--checkm2_opts	string		Additional options to pass to CheckM2

Filtering Parameters

Use these parameters to specify which samples to include or exclude.

Parameter	Type	Default	Description
--include	string		A text file containing sample names (one per line) to include from the analysis
--exclude	string		A text file containing sample names (one per line) to exclude from the analysis

Optional Parameters

These optional parameters can be useful in certain settings.

Parameter	Type	Default	Description
--outdir	string	bactopia	Base directory to write results to

Nextflow Profile Parameters

Parameters to fine-tune your Nextflow setup.

Parameter	Type	Default	Description
--datasets_cache	string	<HOME>/.bactopia/datasets	Directory where downloaded datasets should be stored.

Helpful Parameters

Uncommonly used parameters that might be useful.

Parameter	Type	Default	Description
--wf	string	bactopia	Specify which workflow or Bactopia Tool to execute
--list_wfs	boolean		List the available workflows and Bactopia Tools to use with '--wf'
--help_all	boolean		An alias for --help --show_hidden_params
--version	boolean		Display version text.

Composition

This workflow uses the following subworkflows:

• checkm2 - Assess metagenome bin completeness using CheckM2.

Citations

If you use this in your analysis, please cite the following.

• Bactopia
  Petit III RA, Read TD Bactopia - a flexible pipeline for complete analysis of bacterial genomes. mSystems 5 (2020)

• CheckM2
  Chklovksi A Rapid assessment of genome bin quality using machine learning (GitHub)

Source

View source on GitHub