Creating and installing in a new conda environment:
conda create -y -n ganon -c conda-forge -c bioconda -c defaults ganon=0.2.3 genome_updater=0.2.2
conda activate ganon
Will add when uploaded somewhere
Not needed to run, just here for documentation
# genome_updater.sh -g archaea,bacteria,human,viral,fungi -d refseq -l "Complete Genome" -f genomic.fna.gz,assembly_report.txt -o refseq-complete-genomes-arc-bac-human-viral-fungi -b v1 -a -m -u -r -p -t 42
# ganon build --db-prefix ganon-complete-genomes-arc-bac-human-viral-fungi --input-directory refseq-complete-genomes-arc-bac-human-viral-fungi/v1/files/ --input-extension "_genomic.fna.gz" -t 42
Doing on astrobio@129.114.17.158
genome_updater.sh -g archaea,bacteria,human,viral,fungi -d refseq -l "Complete Genome" -f genomic.fna.gz,assembly_report.txt -o ganon-db-ref -b v1 -a -m -u -r -p -t 42
ganon build --db-prefix ganon-db-ref --input-directory ganon-db-ref/v1/files/ --input-extension "_genomic.fna.gz" -t 42
Downloading one of our samples (CRR125950):
curl -L -o CRR125950_filtered_1_reads_trim25_1.fq.gz https://osf.io/hg7p4/download
Running classification:
ganon classify -d ganon-db-ref \
-r CRR125950_filtered_1_reads_trim25_1.fq.gz \
-t 40 -o CRR125950_filtered_1_reads_trim25_1-ganon-out
We can filter/modify the output from that with the ganon report command, here's one example:
ganon report -d ganon-db-ref \
--rep-file CRR125950_filtered_1_reads_trim25_1-ganon-out.rep --ranks species \
--output-report CRR125950_filtered_1_reads_trim25_1-ganon-out-species.tre
Interactive function plots and tables are here. BRAILLE update (31-Mar-2021) Previous update docs https://hackmd.io/@astrobiomike/BRAILLE-notes-17-Mar-2021 https://hackmd.io/@astrobiomike/BRAILLE-update-24-Feb-2021 https://hackmd.io/@astrobiomike/BRAILLE-update-3-Feb-2021 https://hackmd.io/@astrobiomike/BRAILLE-notes-12-Dec-2020
Nov 24, 2024Overview Metagenomics attempts to sequence all the DNA present in a sample. It can provide a window into the taxonomy and functional potential of a mixed community. There are a ton of things that can be done with metagenomics data as this non-exhaustive overview figure begins to highlight: <a href="https://astrobiomike.github.io/images/metagenomics_overview.png "><img src="https://astrobiomike.github.io/images/metagenomics_overview.png "></a> This page is an introduction to some concepts about one of the things we can try to do with metagenomics data: recovering metagenome-assembled genomes (MAGs). Key concepts
Jul 25, 2024<a href="https://github.com/AstrobioMike/AstrobioMike.github.io/raw/master/images/GToTree-logo-1200px.png "><img src="https://github.com/AstrobioMike/AstrobioMike.github.io/raw/master/images/GToTree-logo-1200px.png "></a>
Jul 22, 2024GUI used was Jetstream2 exosphere: https://jetstream2.exosphere.app/ Summary info The base image created below is publicly available as "STAMPS-2023" and includes: conda v23.5.2 / mamba v1.4.9 jupyterlab v3.6.3 in base conda env an anvio-dev conda environment R v4.3.1 / Rstudio Server (2023.06.1-524) with:BiocManager 1.30.21 remotes 2.4.2
Jul 8, 2024or
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