Build Sensing-Enabling Metabolic Pathways from RetroPath2.0 output
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Updated
Jan 3, 2023 - HTML
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.
Build Sensing-Enabling Metabolic Pathways from RetroPath2.0 output
Advancing chloroplast synthetic biology through high-throughput plastome engineering of Chlamydomonas reinhardtii
Analysis of yeast fusion chromosomes paper - Luo18
Convert rpSBML file to SBOL + CSV files ready to be used by DNA-Bot.
SynBio Source is an open-source platform designed for the Synthetic Biology community, enabling easy sharing and management of datasets. It offers intuitive uploading and searching capabilities, with the goal of fostering a unified metadata standard to enhance accessibility and collaboration within the field.
This is a repository containing code to generate Synthetic Datasets for software-development applications within the field of SyntheticBiology.
Parallel Integration and Chromosomal Expansion of Metabolic Pathways Machine Learning Analysis
python scripts that can be easily trasformed to gui programs for wet lab scientists to use
A library for the Synthetic Biology Open Language (SBOL) written in TypeScript, for JavaScript/TypeScript applications in the browser or node.js
Blog on the computational side of synthetic biology and DNA manufacturing
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
Python wrapper for Retropath2.0 Knime workflow
(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
Resources for learning Biotechnology, Biology, Synthetic Biology, Genomic and Bioinformatic