GCGC is a preprocessing library for biological sequence model development.
Project description
GCGC
GCGC is a tool for feature processing on Biological Sequences.
Installation
GCGC is primarily intended to be used as part of a larger workflow inside Python, but it can also be used as a docker container.
To install via pip:
$ pip install gcgc
And to pull the docker image:
$ docker pull docker.io/thauck/gcgc
Documentation
The GCGC documentation is at gcgc.trenthauck.com, please see it for an example.
Citing GCGC
If you use GCGC in your research, cite it with the following:
@misc{trent_hauck_2018_2329966,
author = {Trent Hauck},
title = {GCGC},
month = dec,
year = 2018,
doi = {10.5281/zenodo.2329966},
url = {https://doi.org/10.5281/zenodo.2329966}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gcgc-0.12.2.dev4.tar.gz
(470.8 kB
view hashes)
Built Distribution
gcgc-0.12.2.dev4-py3-none-any.whl
(474.9 kB
view hashes)
Close
Hashes for gcgc-0.12.2.dev4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 19e23eff7ffa6c186ae64eed5265e2e231ce5de39462b45534c55fdd01ddd40b |
|
MD5 | fb0092c8c0861ad68bbb187e1fba1d7e |
|
BLAKE2b-256 | cca9e1c73cc29f2ef2d71bb2c1367e643ee623bd5bd1488a609e9bda38aa5839 |