gcorso/NeuroSEED

Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)

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This tool helps researchers and bioinformaticians analyze biological sequences like DNA, RNA, or proteins by transforming them into numerical representations. It takes a collection of biological sequences as input and outputs structured information that simplifies tasks like finding similar sequences, grouping them into hierarchies, or aligning them to identify common patterns. Biologists and geneticists can use this to understand evolutionary relationships or functional similarities.

No commits in the last 6 months.

Use this if you need to efficiently compare, cluster, or align many biological sequences and want to leverage machine learning for better insights.

Not ideal if you need a simple, direct calculation of sequence similarity or alignment without relying on advanced embedding techniques.

bioinformatics genetics molecular-biology sequence-alignment phylogenetics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

74

Forks

20

Language

Python

License

MIT

Category

dna-sequence-ml

Last pushed

Oct 14, 2023

Commits (30d)

0

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