PyTorch for DNA analysis: Learning resources
Submission information
Submission Number: 359
Submission ID: 5306
Submission UUID: a5a235bd-d4c0-4bee-a767-b6bd2c7030d0
Submission URI: /form/resource
Created: Wed, 05/07/2025 - 13:27
Completed: Wed, 05/07/2025 - 13:50
Changed: Thu, 08/07/2025 - 10:03
Remote IP address: 198.85.56.10
Submitted by: Feseha Abebe-Akele
Language: English
Is draft: No
Webform: Knowledge Base Resources
Yes
PyTorch for DNA analysis: Learning resources
Learning
Learning resources for using PyTorch as a DNA analysis platform/tool are scarce and scattered. I have attempted to compile some resources that may help beginners get started on their journey into this versatile and yet unexplored field of genomics with PyTorch. The resources listed are intended to give the biggner different perspectives and opportunities to pick up the subject matter with minimal effort spent locating resources.
Learning resources for using PyTorch as a DNA analysis platform/tool are scarce and scattered. I have attempted to compile some resources that may help beginners get started on their journey into this versatile and yet unexplored field of genomics with PyTorch. The resources listed are intended to give the biggner different perspectives and opportunities to pick up the subject matter with minimal effort spent locating resources.
- A clear and concise entry into PyTorch fro DNA analysis
- Selene, a PyTorch-based deep learning library for sequence-level data.
- A gentle intrduction on How to implement Genetic Algorithm using PyTorch
- First take on: DNA Classification with Deep Learning
- Biological language models (BLMs) for DNA, RNA and protein sequence analysis
- An article on: Classifying DNA Sequences with Self-Attention andConvolutions
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