OmniGenome


NameOmniGenome JSON
Version 0.0.4a0 PyPI version JSON
download
home_pagehttps://github.com/yangheng95/OmniGenome
SummaryOmniGenome: A comprehensive toolkit for genome analysis.
upload_time2024-05-05 22:56:49
maintainerNone
docs_urlNone
authorYang, Heng
requires_python>=3.9
licenseMIT
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # OmniGenome: A Comprehensive Toolkit of Genomic Modeling and Benchmarking 

# Introduction
OmniGenome is a comprehensive toolkit for genomic modeling and benchmarking.
It provides a unified interface for various genomic modeling tasks, including genome sequence classification, regression and so on.
OmniGenome is designed to be easy to use and flexible, allowing users to customize their workflows and experiment with different algorithms and parameters. 
It also includes a set of benchmarking tools to evaluate the performance of different genomic foundation models and compare their results. 
OmniGenome is written in Python and is available as an open-source project on GitHub.

# What you can do with OmniGenome
- Click-to-run tutorials of Genomic sequence modeling
- Automated benchmarking of genomic foundation models
- Instant inference using pre-trained checkpoints
- Customizable pipeline for genomic modeling tasks

# Installation
before installing OmniGenome, you need to install the following dependencies:
- Python 3.9+
- PyTorch 2.0+
- Transformers 4.37.0+

- To install OmniGenome, you can use pip:
```bash
pip install omnigenome -U
```
or you can clone the repository and install it from source:
```bash
git clone https://github.com/yangheng95/OmniGenome.git
cd OmniGenome
pip install -e .
```

# Quick Start
TBC

# License
OmniGenome is licensed under the MIT License. See the LICENSE file for more information.

# Citation
TBC

            

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    "description": "# OmniGenome: A Comprehensive Toolkit of Genomic Modeling and Benchmarking \r\n\r\n# Introduction\r\nOmniGenome is a comprehensive toolkit for genomic modeling and benchmarking.\r\nIt provides a unified interface for various genomic modeling tasks, including genome sequence classification, regression and so on.\r\nOmniGenome is designed to be easy to use and flexible, allowing users to customize their workflows and experiment with different algorithms and parameters. \r\nIt also includes a set of benchmarking tools to evaluate the performance of different genomic foundation models and compare their results. \r\nOmniGenome is written in Python and is available as an open-source project on GitHub.\r\n\r\n# What you can do with OmniGenome\r\n- Click-to-run tutorials of Genomic sequence modeling\r\n- Automated benchmarking of genomic foundation models\r\n- Instant inference using pre-trained checkpoints\r\n- Customizable pipeline for genomic modeling tasks\r\n\r\n# Installation\r\nbefore installing OmniGenome, you need to install the following dependencies:\r\n- Python 3.9+\r\n- PyTorch 2.0+\r\n- Transformers 4.37.0+\r\n\r\n- To install OmniGenome, you can use pip:\r\n```bash\r\npip install omnigenome -U\r\n```\r\nor you can clone the repository and install it from source:\r\n```bash\r\ngit clone https://github.com/yangheng95/OmniGenome.git\r\ncd OmniGenome\r\npip install -e .\r\n```\r\n\r\n# Quick Start\r\nTBC\r\n\r\n# License\r\nOmniGenome is licensed under the MIT License. See the LICENSE file for more information.\r\n\r\n# Citation\r\nTBC\r\n",
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