A Go package for engineering organisms.

✏️ A versatile DNA sequence optimizer

The resources I always recommend to new synthetic biologists.

Reinforcement Learning based bioretrosynthesis tool

📊 Codon usage tables in code-friendly format + Python bindings

A lua package for designing DNA.

Learning Kinetic Models from Time Series Proteomics and Metabolomics Data

🌠 Easily download genomes and build BLAST/Bowtie indexes in Python

An IDE for synthetic biology

RetroPath2.0 to pathways

A lightweight Python library designed to simplify the development of tools that render SBOL Visual diagrams.

Resources for learning Biotechnology, Biology, Synthetic Biology, Genomic and Bioinformatic

Batch domestication of genetic parts with Python

Repository of standardized biological experimental data and metadata

(In development) Microservices full-stack single-page web app built with Typescript, React, Redux, Styled Components (for CSS-in-JS), Python, Django, Redis, and PostgreSQL. Separate servers for LIMS and Payments hosted on AWS EC2 instances with Kubernetes and circleci CI/CD. Database hosted on AWS DynamoDB. CDN through AWS Cloudfront and DNS thr…

collection of miscellaneous command line bioinformatic scripts

Non-Repetitive Parts Calculator - Automated design and discovery of non-repetitive genetic parts for engineering stable genetic systems

Python wrapper for Retropath2.0 Knime workflow

Suite of tools that work on rpSBML format

Engineer biology organisms with Polymerase-go Workbench, powered by 'Poly' and super-fast 'Go' backend.