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

Learning Kinetic Models from Time Series Proteomics and Metabolomics Data

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

A Go package for designing DNA.

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

RetroPath2.0 to pathways

An IDE for synthetic biology

Batch domestication of genetic parts with Python

Repository of standardized biological experimental data and metadata

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

(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…

Python wrapper for Retropath2.0 Knime workflow

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

Suite of tools that work on rpSBML format

A library for creating plasmid feature maps with zero external dependencies.