fhalab

alde4ssmula

ALDE simulation runs for SSMuLA (Site Saturation Mutagenesis Landscape Analysis), the code base paper titled "Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes"

channels

Gaussian process models for optimizing channelrhodopsin properties.

embeddings_reproduction

evSeq

Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.

LevSeq

Pipeline for Nanopore sequencing: demultiplexing, variant calling, and quality visualization with error handling.

LevSeq_VDB

MLDE

A machine-learning package for navigating combinatorial protein fitness landscapes.

ProteinGAN

SPGen

SSMuLA

Code base for "Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes"

fhalab/embeddings_reproduction

fhalab/MLDE

A machine-learning package for navigating combinatorial protein fitness landscapes.

fhalab/evSeq

Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.

fhalab/SPGen

fhalab/channels

Gaussian process models for optimizing channelrhodopsin properties.

fhalab/SSMuLA

Code base for "Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes"

fhalab/LevSeq

Pipeline for Nanopore sequencing: demultiplexing, variant calling, and quality visualization with error handling.

fhalab/alde4ssmula

ALDE simulation runs for SSMuLA (Site Saturation Mutagenesis Landscape Analysis), the code base paper titled "Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes"

fhalab/LevSeq_VDB

fhalab/ProteinGAN