Sequoya

benhid

Solving Multiple Sequence Alignment (MSA) problems with multi-objective metaheuristics

optimization

View on GitHub

13 Stars

1 Forks

13 Watchers

Python Language

mit License

Cost to Build

$10.84M

Market Value

$9.36M

How is this calculated?

Growth over time

4 data points · 2021-07-30 → 2022-03-06

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about Sequoya

Question copied to clipboard

What is the benhid/Sequoya GitHub project? Description: "Solving Multiple Sequence Alignment (MSA) problems with multi-objective metaheuristics". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Sequoya

Clone via HTTPS

git clone https://github.com/benhid/Sequoya.git

Clone via SSH

[email protected]:benhid/Sequoya.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Sequoya issue tracker:

Open GitHub Issues

Similar to Sequoya

prepack svgo closure-compiler llvm clean-css simplify imagemin game-programming-patterns webpackmonitor reactopt BayesianOptimization nnvm MTuner webdnn easyengine gosl soot scikit-optimize DietPi faster incubator-kie-optaplanner search-engine-optimization react-ssr-optimization opticss wheels owl meshoptimizer MLBox JuMP.jl eaopt