Sequence and chromatin dataloader for deep learning
Project description
seqchromloader
seqchromloader aims to provide versatile and ready-to-use writer/loader for applying deep learning to bioinformatics study.
Plan to support dataset formats including:
- webdataset (done)
- tfrecord (x)
Training framework support:
- pytorch dataloader (done)
- pytorch-lightning datamodule (done)
- NVIDIA-DALI (x)
Installation
conda (suggested):
mamba install -c bioconda -c conda-forge seqchromloader
or
conda install -c bioconda -c conda-forge seqchromloader
pip
pip install seqchromloader
Usage
For detailed usage, please refer to documentation
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
seqchromloader-0.5.0.tar.gz
(10.5 kB
view hashes)
Built Distribution
Close
Hashes for seqchromloader-0.5.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cf1b92641bc1dfc7e9abae3c43cb8522c2b54f61dab5dfc2d93c3db87c651dae |
|
MD5 | d22076c8b99bbf6da494df45a3885e01 |
|
BLAKE2b-256 | 294d0a94ac35c451a37fcab661340349cf4383f827b003857980643350500a75 |