A Go package for engineering organisms.

Basecalling, alignment, assembly and deconvolution of Sanger Chromatogram trace files

The resources I always recommend to new synthetic biologists.

A lua package for designing DNA.

This repo focuses on supervised and self-supervised bio-sequence representation learning

A Metaculus human judgment forecasting tournament established to generate forecasts and scenarios pertaining to the use of human genetic and reproductive technologies for treatment and enhancement.

Blog on the computational side of synthetic biology and DNA manufacturing

I watched a video on genetic engineering and thought it was really cool. I decided to make some simple tools to work with DNA sequences for fun.

This repository provides simple bioinformatics tools for reading FASTQ and FASTA files, building k-mer overlap graphs for genome assembly, and performing pattern matching using edit distance for sequence alignment tasks

A curated list of awesome resources for genetic engineering.

A kinetic model of CRISPR-Cas target recognition.

Python repository for anyone interested in Synthetic Biology, Laboratory Automation, robots and Genetic Engineering.

🔬 BioSynth is an innovative tool designed to simulate and visualize protein synthesis from DNA sequences. It integrates modern bioinformatics methods to provide a detailed understanding of the relationship between DNA sequences and their corresponding protein structures.

StreptoCAD is an open-source toolbox that automates the design of genome engineering strategies in Streptomyces. It supports CRISPR-based workflows, generating primers, guide sequences, and plasmid simulations to accelerate genetic engineering and natural product discovery.

SIRIUS is a synthetic biology tool that, given a peptide sequence, designs an array of maximally divergent gene sequences

The personal blog of Larry Rodriguez

ML classifier for genome-editing enzymes, assigning nuclease/recombinase/transposase classes that predicts mechanism class and flags IS110-family composite recombinases overlooked by existing tools.

Machine learning-ready scoring framework for programmable genome editors, integrating efficiency, specificity, edit outcome and safety features into a single PEN‑SCORE to guide experimental design and benchmarking.

Development repository for the iGEM IISER Thiruvananthapuram 2021 team wiki.