A Go package for engineering organisms.
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Updated
Apr 30, 2024 - Go
Synthetic biology (SynBio) is a multidisciplinary area of research that seeks to create new biological parts, devices, and systems, or to redesign systems that are already found in nature.
A Go package for engineering organisms.
✏️ A versatile DNA sequence optimizer
Learning Kinetic Models from Time Series Proteomics and Metabolomics Data
Reinforcement Learning based bioretrosynthesis tool
📊 Codon usage tables in code-friendly format + Python bindings
Non-Repetitive Parts Calculator - Automated design and discovery of non-repetitive genetic parts for engineering stable genetic systems
A library for the Synthetic Biology Open Language (SBOL) written in TypeScript, for JavaScript/TypeScript applications in the browser or node.js
Suite of tools that work on rpSBML format
(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…
Parallel Integration and Chromosomal Expansion of Metabolic Pathways Machine Learning Analysis
The resources I always recommend to new synthetic biologists.
Batch domestication of genetic parts with Python
Python wrapper for Retropath2.0 Knime workflow
Build Sensing-Enabling Metabolic Pathways from RetroPath2.0 output
Resources for learning Biotechnology, Biology, Synthetic Biology, Genomic and Bioinformatic