Bioinformatics platform
Project description
Keter
Keter (keh-ter) is a highly-scalable lab environment for coronavirus data science. This project is informed by lessons learned from past B.Next projects.
The goals of this project:
Support distributed computing using an archiecture based on a job queue and workers.
Workers can run on heterogeneous hardware and started and stopped on demand without issue.
Support Kubernetes as the first class or preferred orchestration solution.
Use machine learning techniques that build on state-of-the-art.
Antiviral subsystem will build on a ChEMBL foundation.
Forecasting UI that is mostly or entirely static and can scale to massive amounts of users.
This project is in the planning phases – not even pre-alpha.
Acknowledgment
A project of B.Next.
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
Built Distribution
File details
Details for the file keter-0.0.1.tar.gz
.
File metadata
- Download URL: keter-0.0.1.tar.gz
- Upload date:
- Size: 2.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 30c6906d219ba9aeb85a0cdf6d2a5982ea2dc403784e6e4d53bd59a7041152de |
|
MD5 | bbc883997b692743448136159a383b91 |
|
BLAKE2b-256 | fc3d4c67ccdc0a11a1584f2fb4b6e377282ae7f80dfb14097c3e3a32591ab189 |
File details
Details for the file keter-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: keter-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1362813df7ab260395a48de72e883aa358a4376fcc57aeae99ef29ea68e537bf |
|
MD5 | 50d403e812152fb0d0875d50bf7b2987 |
|
BLAKE2b-256 | 6964d2b88f0b81864a63d387f6731bbb11435c260b2698df62049ecccad8175a |