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Optional input .txt list or multi-FASTA background samples to add to analysis
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-m MASTER_FASTA, --master-fasta MASTER_FASTA
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Master FASTA of genomic sequences to select from. Required if either --focal-sequences or --background-sequences are not supplied in
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FASTA format
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Master FASTA of genomic sequences to select from. Required if either --focal-sequences or --background-sequences are not supplied in FASTA format
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-o OUTDIR, --output-directory OUTDIR
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Path to the desired output directory. If none is provided, a new folder named outbreaker will be created in the current directory
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Path to the desired output directory. If none is provided, a new folder named spora will be created in the current directory
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-r REFERENCE, --reference REFERENCE
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.gb file containing the desired COVID-19 reference sequence. Required
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-p PREFIX, --prefix PREFIX
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Prefix string to label all output files. Default: outbreak
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-t NTHREADS, --nthreads NTHREADS
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Number of threads to use for processing. Default: 4
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Number of threads to use for processing. Default: 2
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-s, --snps-only Generate a snps-only FASTA from the input FASTA. Default: False
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-rn, --rename Rename the FASTA headers to be compatible with NML standards. Default: False
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-nc NAMES_CSV, --names-csv NAMES_CSV
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Integer for the minimum genome completeness percentage for filtering. Default: 90
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-gl GENOME_LENGTH, --genome-length GENOME_LENGTH
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Integer for the minimum genome length for filtering. Default: 29500
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-rp, --report Generate a summary output report for the outbreaker run. Default: Not enabled
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-v, --version Show the current outbreaker version then exit.
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-rp, --report Generate a summary output report for the spora run. Default: Not enabled
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-v, --version Show the current spora version then exit.
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```
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## Documentation
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More detailed documentation for outbreaker usage and functionality can be found [here](docs/0-OVERVIEW.md)
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More detailed documentation for spora usage and functionality can be found [here](docs/0-OVERVIEW.md)
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## Acknowledgments
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Inspiration for code structure and design for outbreaker was inspired by [pangolin](https://github.com/cov-lineages/pangolin) and [civet](https://github.com/artic-network/civet), and minor code blocks were adopted from these software.
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Inspiration for code structure and design for spora was inspired by [pangolin](https://github.com/cov-lineages/pangolin) and [civet](https://github.com/artic-network/civet), and minor code blocks were adopted from these software.
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The **Background** section in the documentation describing outbreak definitions was written by Mark Horsman.
Copy file name to clipboardExpand all lines: docs/0-OVERVIEW.md
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# outbreaker
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# spora
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## Overview
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outbreaker is a workflow written in snakemake and Python that aims to facilitate rapid generation of intermediate input files that are required for outbreak analysis for COVID-19 at PHO. The workflow is designed to be flexible with command line inputs, providing users with options that can be toggled depending on the nature of the outbreak request and the input files required for downstream outbreak analysis tools.
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At its core, outbreaker is designed to accept only a small number of mandatory inputs from the user, and will use a standard set of bioinformatics tools to produce a number of output files such as alignments, trees, SNP matrices, etc., that are often the required inputs for downstream outbreak tools such as [ggtree](https://github.com/YuLab-SMU/ggtree) and/or [civet/civet3](https://github.com/snake-flu/civet3).
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spora is a workflow written in snakemake and Python that aims to facilitate rapid generation of intermediate input files that are required for outbreak analysis for COVID-19 at PHO. The workflow is designed to be flexible with command line inputs, providing users with options that can be toggled depending on the nature of the outbreak request and the input files required for downstream outbreak analysis tools.
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At its core, spora is designed to accept only a small number of mandatory inputs from the user, and will use a standard set of bioinformatics tools to produce a number of output files such as alignments, trees, SNP matrices, etc., that are often the required inputs for downstream outbreak tools such as [ggtree](https://github.com/YuLab-SMU/ggtree) and/or [civet/civet3](https://github.com/snake-flu/civet3).
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## Background
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