💻 Software & Environment Setup
Biotechnology & Genetic Engineering
The computational toolchain and environment used throughout Designing and Engineering of Artificial Microbial Consortia for Bioprocess Application.
Designing engineering artificial microbial courseDesigning engineering artificial microbial online trainingBest designing engineering artificial microbial certificationDesigning engineering artificial microbial for researchersDesigning engineering artificial microbial hands-on workshopLearn designing engineering artificial microbial
# Recommended conda environmentconda create -n dstc_env python=3.11 -yconda activate dstc_envpip install biopython pandas dna-features-viewerBenchling / SnapGene
Cloning design & plasmid maps
Cloning design & plasmid maps
CRISPOR
Guide-RNA design & off-target scoring
Guide-RNA design & off-target scoring
Primer3
PCR primer design
PCR primer design
Galaxy
No-code reproducible bioinformatics
No-code reproducible bioinformatics
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.
Earn government-registered certification in Designing and Engineering of Artificial Microbial Consortia for Bioprocess Application
e-Certificate and e-Marksheet issued on successful completion.
