Utilities for training DL models using DNA sequence and chromatin inputs
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file seqchromloader-0.12.4.tar.gz.
File metadata
- Download URL: seqchromloader-0.12.4.tar.gz
- Upload date:
- Size: 19.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
492f0350722acd70070fdeac558879d1ac75a20f8119178a1a4352e1309214ce
|
|
| MD5 |
54d128991a5924c3d4da7f629287ddcb
|
|
| BLAKE2b-256 |
70a63ee528e099cdc01de217af8871530ff389bf0f935a8653fb4ad2355fab1e
|
Provenance
The following attestation bundles were made for seqchromloader-0.12.4.tar.gz:
Publisher:
python-publish.yml on seqcode/seqchromloader
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
seqchromloader-0.12.4.tar.gz -
Subject digest:
492f0350722acd70070fdeac558879d1ac75a20f8119178a1a4352e1309214ce - Sigstore transparency entry: 1342999341
- Sigstore integration time:
-
Permalink:
seqcode/seqchromloader@cfbfd11b9408a7a2aee525d7d1b98c84a25ba0a0 -
Branch / Tag:
refs/tags/0.12.4 - Owner: https://github.com/seqcode
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-publish.yml@cfbfd11b9408a7a2aee525d7d1b98c84a25ba0a0 -
Trigger Event:
release
-
Statement type:
File details
Details for the file seqchromloader-0.12.4-py3-none-any.whl.
File metadata
- Download URL: seqchromloader-0.12.4-py3-none-any.whl
- Upload date:
- Size: 37.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9be3aa0fbf93712bfb8f4aa86f75cdc0b747cf74d55f1bc2a7ba65ccf1343530
|
|
| MD5 |
93719af4bf868709dca0c0940e89284f
|
|
| BLAKE2b-256 |
5be2f769c10bfd7a420e3ac0d7e725e57f2e92e73dbd2e07f391d710aedc04b2
|
Provenance
The following attestation bundles were made for seqchromloader-0.12.4-py3-none-any.whl:
Publisher:
python-publish.yml on seqcode/seqchromloader
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
seqchromloader-0.12.4-py3-none-any.whl -
Subject digest:
9be3aa0fbf93712bfb8f4aa86f75cdc0b747cf74d55f1bc2a7ba65ccf1343530 - Sigstore transparency entry: 1342999388
- Sigstore integration time:
-
Permalink:
seqcode/seqchromloader@cfbfd11b9408a7a2aee525d7d1b98c84a25ba0a0 -
Branch / Tag:
refs/tags/0.12.4 - Owner: https://github.com/seqcode
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-publish.yml@cfbfd11b9408a7a2aee525d7d1b98c84a25ba0a0 -
Trigger Event:
release
-
Statement type:
