Project description

oakx-oger

This is an OGER plugin for oaklib.

ALPHA

Usage

pip install oakx-oger
runoak -i oger:sqlite:obo:envo annotate cultured organisms polar ecosystems atmospheric gas exchange

How it works

There are two possible inputs to this plugin:

A .txt file [runoak -i oger:sqlite:obo:envo annotate --text-file text.txt]
Words that need to be annotated.[runoak -i oger:sqlite:obo:envo annotate cultured organisms polar ecosystems atmospheric gas exchange]

Input ontologies generally used oaklib can be used with an oger: prefix. Note: This has been tested only with oger:sqlite:obo:* for now.

Acknowledgements

This cookiecutter project was developed from the oakx-plugin-cookiecutter template and will be kept up-to-date using cruft.

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

0.1.6

Sep 7, 2023

This version

0.1.5

Mar 22, 2023

0.1.4

Mar 10, 2023

0.1.3

Mar 10, 2023

0.1.2

Oct 28, 2022

0.1.1

Oct 27, 2022

0.1.0

Oct 27, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

oakx_oger-0.1.5.tar.gz (9.4 kB view details)

Uploaded Mar 22, 2023 Source

Built Distribution

oakx_oger-0.1.5-py3-none-any.whl (10.1 kB view details)

Uploaded Mar 22, 2023 Python 3

File details

Details for the file oakx_oger-0.1.5.tar.gz.

File metadata

Download URL: oakx_oger-0.1.5.tar.gz
Upload date: Mar 22, 2023
Size: 9.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for oakx_oger-0.1.5.tar.gz
Algorithm	Hash digest
SHA256	`6a1e6d6937ecc7c60d23b92094bb7411a34c00255b07d6f82eaab10737f80b63`
MD5	`14cf25df1b935138f7307970af76d6a1`
BLAKE2b-256	`8558ca5d3bfc0344d01ede091b4a12f463a4937e9bbc64d5c89beb144d9ce717`

See more details on using hashes here.

File details

Details for the file oakx_oger-0.1.5-py3-none-any.whl.

File metadata

Download URL: oakx_oger-0.1.5-py3-none-any.whl
Upload date: Mar 22, 2023
Size: 10.1 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for oakx_oger-0.1.5-py3-none-any.whl
Algorithm	Hash digest
SHA256	`72b5516443d0cbda019881983432bfc5e87de344b4dca041f7dc150d68ca80ef`
MD5	`d83fcedff138c4be44d6dc8af8c3826f`
BLAKE2b-256	`9b948a60eae58e00896bb1fc229fddd25303ec43a2278c3f29483741407f48e9`