Church Lab (@churchlab)

Top repositories

1

UniRep

UniRep model, usage, and examples.
Python
334
star
2

UniRep-analysis

Analysis and figure code from Alley et al. 2019.
Jupyter Notebook
58
star
3

low-N-protein-engineering

Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".
Jupyter Notebook
56
star
4

millstone

Genome engineering and analysis software
Python
47
star
5

Deep_diversification_AAV

Bioinformatics code for paper associated with deep diversification of AAV
Jupyter Notebook
36
star
6

AAV_fitness_landscape

Analysis for "Comprehensive fitness landscape of AAV capsid reveals a viral gene and enables machine-guided design"
Jupyter Notebook
21
star
7

ml-ami-builder

Packer scripts to build nvidia-enabled AMIs
Shell
19
star
8

crispr-images

Code for Shipman et al. 2017
Python
12
star
9

vdj

python package for working with immune receptor sequence data
Python
10
star
10

Generative_AAV_design

Code and Data for Generative modeling for AAV design
Jupyter Notebook
8
star
11

optmage

Scripts for designing oligos and primers for MAGE (Multiplex Automated Genome Engineering)
Python
3
star
12

rlr

RLR (Schubert & Goodman et al.) - Documentation, Code, and Figures
MATLAB
2
star
13

agr_recoding

supporting code and data for Napolitano et al.
Python
2
star
14

aws-utils

Docs and scripts for working with Amazon Web Services and compute tasks more generally
Shell
2
star
15

churchlab.github.io

HTML
1
star
16

ulutil

Python utilities for Church lab work (mostly DNA sequencing-related)
Python
1
star
17

Vascularized-Organoids

Repository for Vascularized Organoids Paper
R
1
star
18

aav_rep_scan

Contains code used to generate oligonucleotides for AAV2 rep scanning saturation mutagenesis library and to analyze resulting NGS data. Also includes code used to generate all figures in "Comprehensive mutagenesis maps the effect of all single codon mutations in the AAV2 rep gene on AAV production".
Jupyter Notebook
1
star
19

lac_repression

Code and processed data for Garruss et al. 2021 "Deep Representation Learning Improves Prediction of LacI-mediated Transcriptional Repression"
Roff
1
star