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Written 2023, by Rachael Storo. Contributions by Giles Goetz. Based on a workflow written by Nastassia Patin. v. 1.0

Important notes:

  • Amethyst requires python >3.6
  • Amethyst requires data files to be located in amethyst/00_data/fastq, separated in R1 for forward reads, R2 for reverse.
  • Raw data files must be UNZIPPED to be processed.

To get started, please see the Quick Start Guide

Roadmap:

Note- this is a prioritized list of features to add to Amethyst. This is subject to change.

Program Function Status
fastqc read QC complete
multiqc read QC complete
multitrim read trimming complete
megahit assembly complete
bbnorm normalization ON HOLD
bowtie2 assembly coverage analysis complete
prodigal gene prediction complete
prokka gene annotation complete
sourmash diversity analysis- assembly based complete
maxbin2 binning complete
checkm bin/MAG quality complete
dRep dereplication of bins/MAGs complete
GTDB-Tk taxonomic assignment of bins/MAGs complete
nonpareil read-based coverage analysis backlog
sourmash diversity analysis- read based backlog
humann functional analysis backlog

*BBnorm is on hold as normalization is not ideal for binning, and it was having errors.

Features to add in new versions:

  • co-assembly capabilities
  • overarching rules to combine pseudo rules
  • benchmarking/logs- coded in the current version but not writing
  • init file to make all conda environments needed to run amethyst
  • yaml files for conda environments needed to run amethyst
  • choice of assembler
  • Docker Containers

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Metagenomics analysis workflow

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