tl;dr - download and sketch data directly
Commands:
gbsketch- download and sketch NCBI Assembly Datasets by accessionurlsketch- download and sketch directly from a url
This plugin is an attempt to improve sourmash database generation by downloading files, checking md5sum if provided or accessible, and sketching to a sourmash zipfile. FASTA files can also be saved if desired. It's quite fast, but still very much at alpha level. Here be dragons.
Option 1 (recommended): Create a conda environment and install into it:
conda create -n directsketch sourmash_plugin_directsketch # create and install
conda activate directsketch # activate
Option 2: Install without creating an environment
conda install sourmash_plugin_directsketch
On other platforms, you can create a conda environment with requirements like so:
curl -JLO https://raw.githubusercontent.com/sourmash-bio/sourmash_plugin_directsketch/main/environment.yml
conda env create -f environment.yml
then activate the environment and install sourmash_plugin_directsketch via pip:
conda activate directsketch
pip install sourmash_plugin_directsketch
If you're building large databases, we highly recommend you use batched zipfiles (v0.4+) to facilitate restart. If you encounter unexpected failures and are using a single zipfile output (default), gbsketch/urlsketch will have to re-download and re-sketch all files. If you instead set a batch size using --batch-size, then gbsketch/urlsketch can load any batched zips that finished writing, and avoid re-generating those signatures. For gbsketch, the batch size represents the number of accessions included in each zip, with all signatures associated with an accession grouped within a single zip. For urlsketch, the batch size represents the number of sigs associated with each url provided. Note that batches will use the --output file to build batched filenames, so if you provided output.zip, your batches will be output.1.zip, output.2.zip, etc. For small genomes (e.g. microbes), you can keep batch sizes quite large, e.g. 1000s-10000s. For large eukaryotic genomes where download takes much longer, you may want to use smaller batch sizes.
To build a single database after batched sketching, you can use sig cat to build a single zipfile (sourmash sig cat *.zip -o OUTPUT.zip) or sig collect to collect all the zips into a standalone manifest that can be used with sourmash and branchwater commands.
Directsketch downloads the full file, optionally checking the md5sum, then performs the sketch. As a result, you will need enough memory to hold up to 3 genomes in memory at once. For microbial genomes, this is trivial. For large eukaryotic genomes (e.g. plants!), be sure to provide sufficient memory. You can tune the number of simultaneous downloads (and thus, the number of genomes that will be in memory simultaneously) with --n-simultaneous-downloads.
download and sketch NCBI Assembly Datasets by accession
First, create a file, e.g. acc.csv with GenBank identifiers and sketch names.
accession,name,ftp_path
GCA_000961135.2,GCA_000961135.2 Candidatus Aramenus sulfurataquae isolate AZ1-45,
GCA_000175555.1,GCA_000175555.1 ACUK01000506.1 Saccharolobus solfataricus 98/2,
Three columns must be present:
accession,name, andftp_path. Theftp_pathcolumn can be empty (as above), but no additional columns may be present.
If you do not provide an ftp_path, gbsketch will use the accession to find the ftp_path for you.
If you choose to provide it, ftp_path must be the ftp_path column from NCBI's assembly summary files.
For reference:
- example
ftp_path: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/036/600/915/GCA_036600915.1_ASM3660091v1 - bacteria assembly summary file: https://ftp.ncbi.nih.gov/genomes/genbank/bacteria/assembly_summary.txt
To test gbsketch, you can download a csv file and run:
curl -JLO https://raw.githubusercontent.com/sourmash-bio/sourmash_plugin_directsketch/main/tests/test-data/acc.csv
sourmash scripts gbsketch acc.csv -o test-gbsketch.zip -f out_fastas -k --failed test.failed.csv --checksum-fail test.checksum-failed.csv -p dna,k=21,k=31,scaled=1000,abund -p protein,k=10,scaled=100,abund -r 1
To check that the zip was created properly, you can run:
sourmash sig summarize test-gbsketch.zip
and you should see the following as output:
** loading from 'test-gbsketch.zip'
path filetype: ZipFileLinearIndex
location: /path/to/your/test-gbsketch.zip
is database? yes
has manifest? yes
num signatures: 5
** examining manifest...
total hashes: 10815
summary of sketches:
2 sketches with dna, k=21, scaled=1000, abund 2884 total hashes
2 sketches with dna, k=31, scaled=1000, abund 2823 total hashes
1 sketches with protein, k=10, scaled=100, abund 5108 total hashes
Full Usage:
usage: gbsketch [-h] [-q] [-d] [-o OUTPUT] [-f FASTAS] [--batch-size BATCH_SIZE] [-k] [--download-only] --failed FAILED --checksum-fail CHECKSUM_FAIL [-p PARAM_STRING] [-c CORES]
[-r RETRY_TIMES] [-g | -m]
input_csv
download and sketch GenBank assembly datasets
positional arguments:
input_csv a txt file or csv file containing accessions in the first column
options:
-h, --help show this help message and exit
-q, --quiet suppress non-error output
-d, --debug provide debugging output
-o OUTPUT, --output OUTPUT
output zip file for the signatures
-f FASTAS, --fastas FASTAS
Write fastas here
--batch-size BATCH_SIZE
Write smaller zipfiles, each containing sigs associated with this number of accessions.
This allows gbsketch to recover after unexpected failures, rather than needing to
restart sketching from scratch. Default: write all sigs to single zipfile.
-k, --keep-fasta write FASTA files in addition to sketching. Default: do not write FASTA files
--download-only just download genomes; do not sketch
--failed FAILED csv of failed accessions and download links (should be mostly protein).
--checksum-fail CHECKSUM_FAIL
csv of accessions where the md5sum check failed or the md5sum file was improperly formatted or could not be downloaded
-p PARAM_STRING, --param-string PARAM_STRING
parameter string for sketching (default: k=31,scaled=1000)
-c CORES, --cores CORES
number of cores to use (default is all available)
-r RETRY_TIMES, --retry-times RETRY_TIMES
number of times to retry failed downloads
-n {1,2,3}, --n-simultaneous-downloads {1,2,3}
number of accessions to download simultaneously (default=1)
-g, --genomes-only just download and sketch genome (DNA) files
-m, --proteomes-only just download and sketch proteome (protein) files
download and sketch directly from a url
First, create a file, e.g. acc-url.csv with identifiers, sketch names, and other required info.
accession,name,moltype,md5sum,download_filename,url
GCA_000961135.2,GCA_000961135.2 Candidatus Aramenus sulfurataquae isolate AZ1-454,dna,47b9fb20c51f0552b87db5d44d5d4566,GCA_000961135.2_genomic.urlsketch.fna.gz,https://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/961/135/GCA_000961135.2_ASM96113v2/GCA_000961135.2_ASM96113v2_genomic.fna.gz
GCA_000961135.2,GCA_000961135.2 Candidatus Aramenus sulfurataquae isolate AZ1-454,protein,fb7920fb8f3cf5d6ab9b6b754a5976a4,GCA_000961135.2_protein.urlsketch.faa.gz,https://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/961/135/GCA_000961135.2_ASM96113v2/GCA_000961135.2_ASM96113v2_protein.faa.gz
GCA_000175535.1,GCA_000175535.1 Chlamydia muridarum MopnTet14 (agent of mouse pneumonitis) strain=MopnTet14,dna,a1a8f1c6dc56999c73fe298871c963d1,GCA_000175535.1_genomic.urlsketch.fna.gz,https://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/175/535/GCA_000175535.1_ASM17553v1/GCA_000175535.1_ASM17553v1_genomic.fna.gz
Six columns must be present:
accession- an accession or unique identifier. Ideally no spaces.name- full name for the sketch.moltype- is the file 'dna' or 'protein'?md5sum- expected md5sum (optional, will be checked after download if provided)download_filename- filename for FASTA download. Required if--keep-fastas, but useful for signatures, too (saved in sig data).url- direct link for the file
To run the test accession file at tests/test-data/acc-url.csv, run:
sourmash scripts urlsketch tests/test-data/acc-url.csv -o test-urlsketch.zip -f out_fastas -k --failed test.failed.csv -p dna,k=21,k=31,scaled=1000,abund -p protein,k=10,scaled=100,abund -r 1
Full Usage:
usage: urlsketch [-h] [-q] [-d] [-o OUTPUT] [--batch-size BATCH_SIZE] [-f FASTAS] [-k] [--download-only] --failed FAILED [--checksum-fail CHECKSUM_FAIL] [-p PARAM_STRING] [-c CORES]
[-r RETRY_TIMES]
input_csv
download and sketch GenBank assembly datasets
positional arguments:
input_csv a txt file or csv file containing accessions in the first column
options:
-h, --help show this help message and exit
-q, --quiet suppress non-error output
-d, --debug provide debugging output
-o OUTPUT, --output OUTPUT
output zip file for the signatures
--batch-size BATCH_SIZE
Write smaller zipfiles, each containing sigs associated with this number of urls.
This allows urlsketch to recover after unexpected failures, rather than needing to
restart sketching from scratch. Default: write all sigs to single zipfile.
-f FASTAS, --fastas FASTAS
Write fastas here
-k, --keep-fasta, --keep-fastq
write FASTA/Q files in addition to sketching. Default: do not write FASTA files
--download-only just download genomes; do not sketch
--failed FAILED csv of failed accessions and download links.
--checksum-fail CHECKSUM_FAIL
csv of accessions where the md5sum check failed. If not provided, md5sum failures will be written to the download failures file (no additional md5sum information).
-p PARAM_STRING, --param-string PARAM_STRING
parameter string for sketching (default: k=31,scaled=1000)
-c CORES, --cores CORES
number of cores to use (default is all available)
-r RETRY_TIMES, --retry-times RETRY_TIMES
number of times to retry failed downloads
-n {1,2,3}, --n-simultaneous-downloads {1,2,3}
number of simultaneous downloads (default=3)
-g, --genomes-only just download and sketch genome (DNA) files
-m, --proteomes-only just download and sketch proteome (protein) files
This project is under the sourmash Code of Conduct.
We suggest filing issues in the directsketch issue tracker or the main sourmash issue tracker.
- N. Tessa Pierce-Ward
sourmash_plugin_directsketch is developed at https://github.com/sourmash-bio/sourmash_plugin_directsketch.
Run:
pytest tests
Bump version number in Cargo.toml and push.
Make a new release on github.
Then pull, and:
make sdist
followed by make upload_sdist.
you may need to
pip install twineif it is not available.