Parallel Integration and Chromosomal Expansion of Metabolic Pathways Machine Learning Analysis
-
Updated
Aug 14, 2018 - Jupyter Notebook
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.
Parallel Integration and Chromosomal Expansion of Metabolic Pathways Machine Learning Analysis
The resources I always recommend to new synthetic biologists.
Non-Repetitive Parts Calculator - Automated design and discovery of non-repetitive genetic parts for engineering stable genetic systems
📊 Codon usage tables in code-friendly format + Python bindings
Batch domestication of genetic parts with Python
Analysis of yeast fusion chromosomes paper - Luo18
Learning Kinetic Models from Time Series Proteomics and Metabolomics Data
🌠 Easily download genomes and build BLAST/Bowtie indexes in Python
Build Sensing-Enabling Metabolic Pathways from RetroPath2.0 output
Convert rpSBML file to SBOL + CSV files ready to be used by DNA-Bot.
Blog on the computational side of synthetic biology and DNA manufacturing
A library for the Synthetic Biology Open Language (SBOL) written in TypeScript, for JavaScript/TypeScript applications in the browser or node.js
collection of miscellaneous command line bioinformatic scripts