ensembl-tui
Warning
Whole genome alignments had their gaps placed incorrectly. Please reinstall your alignment data.
In versions 0.7.6 and 0.7.7,
eti alignmentsmisread the gap lengths written byeti install. In any sequence with more than one gap, every gap after the first was made too long. Gaps therefore landed in the wrong columns and sequence was silently dropped from the end of the alignment. Reinstall the downloaded data witheti install.Our apologies for this error. Our thanks to Ulises Hernandez for reporting it.
ensembl-tui provides the eti terminal application for obtaining a subset of the data provided by Ensembl which can then be queried locally. You can have multiple such subsets on your machine, each corresponding to a different selection of species and data types.
Warning We currently only support accessing data from the main ensembl.org site. If you discover errors, please post a bug report.
Installing the software
General user installation instructions
$ pip install ensembl-tui
Developer installation instructions
Fork the repo and clone your fork to your local machine. Install uv, then from the root of your clone$ uv sync
That creates a .venv/ with an editable install of the project plus all of the development dependencies. uv downloads a suitable Python itself, so you do not need one installed first. Run commands in that environment with uv run, for example
$ uv run eti --help
Resources required to subset Ensembl data
Ensembl hosts some very large data sets. You need to have a machine with sufficient disk space to store the data you want to download. At present we do not have support for predicting how much storage would be required for a given selection of species and data types. You will need to experiment.
Some commands can be run in parallel but have moderate memory requirements. If you have a machine with limited RAM, you may need to reduce the number of parallel processes. Again, run some experiments.
Getting setup
Specifying what data you want to download and where to put it
We use a plain text file to indicate the Ensembl domain, release and types of genomic data to download. Start by using the demo-config subcommand.
Usage: eti demo-config [OPTIONS]
exports sample config and species table to the nominated path
Options:
-o, --outpath PATH Path to directory to export all rc contents.
--domain [vertebrates|main|metazoa|protists]
Ensembl domain to use for species list.
[default: main]
-f, --force_overwrite Overwrite existing data.
--help Show this message and exit.
$ eti demo-config -o ensembl_download
This command creates a ensembl_download download directory and writes two plain text files into it:
species.tsv: contains the Latin names, common names etc... of the species accessible at ensembl.org website.sample.cfg: a sample configuration file that you can edit to specify the data you want to download.
The latter file includes comments on how to edit it in order to specify the genomic resources that you want.
Downloading the data
Downloads the data indicated in the config file to a local directory.
Usage: eti download [OPTIONS]
download data from Ensembl's ftp site
Options:
-c, --configpath PATH Path to config file specifying databases, (only
species or compara at present).
-d, --debug Maximum verbosity, and reduces number of downloads,
etc...
-sm, --species_map TEXT Tsv file with species names, abbreviations etc..
[default: main]
-v, --verbose
--help Show this message and exit.
For a config file named config.cfg, the download command would be:
$ cd to/directory/with/config.cfg
$ eti download -c config.cfg
Note This is the only step for which the internet is required. Downloads can be interrupted and resumed. The software will delete partially downloaded files.
The download creates a new .cfg file inside the download directory. This file is used by the install command.
Installing the data
Converts the downloaded data into data formats designed to enhance querying performance.
Usage: eti install [OPTIONS]
create the local representations of the data
Options:
-d, --download PATH Path to local download directory containing a cfg
file.
-np, --num_procs INTEGER Number of procs to use. [default: 1]
-f, --force_overwrite Overwrite existing data.
-v, --verbose
--help Show this message and exit.
This step can be run in parallel, but the memory requirements will scale with the number of genomes. So we suggest monitoring performance on your system by trying it out on a small number of CPUs to start with. The following command uses 2 CPUs and has been safe on systems with only 16GB of RAM for 10 primate genomes, including homology data and whole genome alignments.
$ cd to/directory/with/downloaded_data
$ eti install -d downloaded_data -np 2
Checking what has been installed
This will give a summary of what data has been installed at a provided path.Usage: eti installed [OPTIONS]
show what is installed
Options:
-i, --installed TEXT Path to root directory of an installation. [required]
--help Show this message and exit.
Interrogating the data
We provide a conventional command line interface for querying the data with subcommands.
The full list of subcommands
You can get help on individual subcommands by running eti <subcommand> in the terminal.
Usage: eti [OPTIONS] COMMAND [ARGS]...
Tools for obtaining and interrogating subsets of https://ensembl.org genomic
data.
Options:
--version Show the version and exit.
--help Show this message and exit.
Commands:
tui Open Textual TUI.
demo-config exports sample config and species table to the nominated...
download download data from Ensembl's ftp site
install create the local representations of the data
installed show what is installed
species-summary genome summary data for a species
dump-genes export meta-data table for genes from one species to...
compara-summary summary data for compara
homologs exports CDS sequence data in fasta format for homology...
alignments export multiple alignments in fasta format for named genes
We also provide an experiment terminal user interface (TUI) that allows you to explore the data in a more interactive way. This is invoked with the tui subcommand.
Getting a summary of a genome
A command like the following
eti species-summary -i primates10_113/install --species human
displays two tables for the indicated genome. The first is the biotypes and their counts, the second the repeat classes / types and their counts.
Getting a summary of a homology data
A command like the following
eti compara-summary -i primates10_113/install
displays the homology types and counts. The values under homology_type can be used as input arguments to the homologs command --homology_type argument.
Exporting related sequences
A command like the following
eti homologs -i primates10_113/install/ --outdir sampled_100 --ref human --coord_names 1 --limit 100
will sample 100 one-to-one orthologs (the default homology type) to human chromosome 1 linked protein coding genes (the only biotype supported at present). The canonical CDS sequences will be written in fasta format to the directory sampled_100.
Exporting whole genome alignments
A command like the following
eti alignments -i primates10_113/install --outdir sampled_aligns_100 --align_name '*primate*' --coord_names 1 --ref human --limit 10
samples 10 alignments that include human chromosome 1 protein coding genes. These are from the Ensembl whole genome alignment whose name matches the glob pattern *primate*.
Warning
If this pattern matches more than one installed Ensembl alignment, the program will exit.
Metadata
Release files for ensembl-tui 0.7.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ensembl_tui-0.7.9.tar.gz | 131.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ensembl_tui-0.7.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 217.5 kB
Release files / ensembl_tui-0.7.9.tar.gz
| Download URL | ensembl_tui-0.7.9.tar.gz |
|---|---|
| Size | 131.8 kB |
| Tags | Source |
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| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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