# gokceneraslan/awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

Repository: https://github.com/gokceneraslan/awesome-deepbio
Canonical: https://ross.abutalabs.com/products/awesome-deepbio
License Family: other
Last push: 2021-11-07T22:43:41+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3878, "days_push": 1760, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1988, forks 313 (observed 2026-08-28T04:06:02.916069+00:00)

## What it is
A curated awesome-list of papers and resources on deep learning applications in computational biology. It catalogs research from protein structure prediction to genomic variant annotation.

## Use cases
- find deep learning papers on computational biology
- discover ML applications in genomics
- research protein structure prediction with neural networks
- survey deep learning for genetic variant annotation
- find resources on deep learning for drug discovery
- get started with AI in bioinformatics

## When to choose
- surveying the research landscape of deep learning in biology
- finding seminal papers on bioinformatics ML topics
- building a reading list for computational biology research

## When to avoid
- you need runnable software or code libraries
- you need up-to-date papers after 2021
- you need tutorials rather than paper references

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: bioinformatics, machine-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-list, computational-biology, genomics, papers

## Member repositories
- gokceneraslan/awesome-deepbio (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:02.916069+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:02:58.773170+00:00, confidence not recorded.
  - readme: https://github.com/gokceneraslan/awesome-deepbio (fetched 2026-08-28T04:06:02.916069+00:00, sha a2c95619665f)
- Data as of 2026-08-30T08:39:29.467469+00:00.