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
(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
Suite of tools that work on rpSBML format
The resources I always recommend to new synthetic biologists.
Batch domestication of genetic parts with Python
Build Sensing-Enabling Metabolic Pathways from RetroPath2.0 output
Python wrapper for Retropath2.0 Knime workflow
Resources for learning Biotechnology, Biology, Synthetic Biology, Genomic and Bioinformatic