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Back to RoadmapsSynthetic Biology & Genomics A multidisciplinary roadmap for the emerging field of synthetic biology and genomics. This path covers biology and chemistry fundamentals, molecular biology, bioinformatics, genomics, gene editing, synthetic circuit design, metabolic and protein engineering, lab automation, bioethics, clinical genomics, and biotech entrepreneurship.
12 milestones in this roadmap
Step 1 beginner 8-10 weeks
Biology & Chemistry Fundamentals Build a strong foundation in cell biology, biochemistry, and organic chemistry essential for understanding every technique in synthetic biology.
Curriculum
1 Cell structure: organelles, membranes, cytoskeleton, and cell signalling cascades 2 Amino acids, protein structure (primary through quaternary), and enzyme kinetics 3 Central dogma of molecular biology: DNA replication, transcription, translation 4 Metabolic pathways: glycolysis, citric acid cycle, oxidative phosphorylation 5 Organic chemistry: functional groups, reaction mechanisms, and stereochemistry 6 Thermodynamics and free energy in biological systems Tools & Platforms
Alberts Molecular Biology of the Cell Khan Academy (AP Biology/Chemistry) PyMOL for protein visualisation ChemDraw / MarvinSketch
Step 1 beginner 8-10 weeks
Biology & Chemistry Fundamentals Build a strong foundation in cell biology, biochemistry, and organic chemistry essential for understanding every technique in synthetic biology.
Curriculum
1 Cell structure: organelles, membranes, cytoskeleton, and cell signalling cascades 2 Amino acids, protein structure (primary through quaternary), and enzyme kinetics 3 Central dogma of molecular biology: DNA replication, transcription, translation 4 Metabolic pathways: glycolysis, citric acid cycle, oxidative phosphorylation 5
Step 2 beginner 6-8 weeks
Molecular Biology & Genetics Study DNA replication, gene regulation, and core laboratory techniques like PCR, cloning, and gel electrophoresis.
Curriculum
1 DNA replication machinery: helicases, polymerases, ligases, and Okazaki fragments 2 Transcription regulation: promoters, enhancers, operons, and transcription factors 3 Epigenetics: DNA methylation, histone modification, and chromatin remodelling 4 PCR, RT-PCR, and qPCR: primer design, thermal cycling, and quantification
Step 3 intermediate 6-8 weeks
Bioinformatics & Computational Biology Learn to analyse biological data computationally with sequence alignment, phylogenetics, protein structure prediction, and genome annotation.
Curriculum
1 Sequence alignment: pairwise (Needleman-Wunsch, Smith-Waterman) and multiple (CLUSTAL, MUSCLE) 2 BLAST: local alignment heuristics, E-values, and database searching 3 Phylogenetic analysis: maximum likelihood, Bayesian inference, and tree construction 4 Protein structure prediction: homology modelling, AlphaFold, and ESMFold
Step 4 intermediate 6-8 weeks
Genomics & Sequencing Technologies Understand DNA sequencing technologies from Sanger to nanopore, and master sequencing data analysis workflows.
Curriculum
1 Sanger sequencing: chain termination method and capillary electrophoresis 2 Illumina short-read sequencing: bridge amplification, sequencing by synthesis, and paired-end reads 3 PacBio HiFi: single-molecule real-time sequencing and circular consensus 4 Oxford Nanopore: nanopore translocation, base calling, and adaptive sampling
Step 5 intermediate 6-8 weeks
Gene Editing (CRISPR-Cas9) Master the CRISPR-Cas9 gene editing system including guide RNA design, delivery methods, and advanced editing techniques.
Curriculum
1 CRISPR-Cas9 mechanism: guide RNA, PAM recognition, and double-strand break repair 2 Guide RNA design: on-target scoring, off-target prediction, and specificity 3 HDR vs NHEJ repair pathways for knock-in and knock-out strategies 4 Delivery methods: viral vectors (AAV, lentivirus), electroporation, and lipid nanoparticles
Step 6 intermediate 6-8 weeks
Synthetic Gene Circuit Design Design genetic circuits that implement logic, sensing, and feedback using standardised biological parts and computational design tools.
Curriculum
1 Genetic toggle switches, repressilators, and pulse generators 2 Boolean logic gates (AND, OR, NOT, NAND) in living cells 3 Biosensor design: ligand-responsive promoters and riboswitch circuits 4 Part standardisation: BioBricks, iGEM Registry, and SBOL data standard
Step 7 advanced 6-8 weeks
Metabolic Engineering Engineer cellular metabolism to produce biofuels, pharmaceuticals, and chemicals using flux analysis and iterative design-build-test-learn cycles.
Curriculum
1 Stoichiometric modelling and flux balance analysis (FBA) 2 Pathway optimisation: gene overexpression, knockouts, and dynamic regulation 3 Chassis organism selection: E. coli, S. cerevisiae, CHO, and Pichia pastoris 4 Cofactor engineering and precursor supply optimisation
Step 8 advanced 6-8 weeks
Protein Engineering & Design Design and engineer proteins with novel functions using directed evolution, rational design, and machine-learning-guided approaches.
Curriculum
1 Protein folding: thermodynamics, energy landscapes, and Levinthal paradox 2 Directed evolution: error-prone PCR, DNA shuffling, and phage/yeast display 3 Rational design: active site engineering, disulfide bridges, and stability mutations 4 Machine learning for protein design: ProteinMPNN, ESM-2, and RFdiffusion
Step 9 intermediate 4-6 weeks
Lab Automation & Robotics Scale biological experiments with liquid handling robots, high-throughput screening, and closed-loop automated workflows.
Curriculum
1 Liquid handling automation: pipetting protocols, plate layouts, and calibration 2 Automated colony picking, plating, and culture management 3 High-throughput screening: 96/384-well assays, plate readers, and data pipelines 4 Microfluidics: droplet-based screening and organ-on-a-chip devices
Step 10 intermediate 3-4 weeks
Bioethics & Regulatory Frameworks Navigate the ethical, safety, and regulatory landscape of synthetic biology including biosafety, GMO regulations, and dual-use concerns.
Curriculum
1 Biosafety levels (BSL-1 to BSL-4) and institutional biosafety committees (IBCs) 2 GMO regulations: FDA, EPA, USDA coordinated framework (US); EMA (EU) 3 Gene therapy regulatory pathway: IND applications and clinical trial phases 4 Dual-use research of concern (DURC) and gain-of-function oversight
Step 11 advanced 6-8 weeks
Clinical Genomics & Precision Medicine Apply genomics to healthcare through pharmacogenomics, cancer profiling, rare disease diagnosis, and precision medicine approaches.
Curriculum
1 Pharmacogenomics: CYP450 variants, drug metabolism, and dosing guidelines 2 Cancer genomics: tumour mutational burden, driver mutations, and liquid biopsy (ctDNA) 3 Rare disease diagnosis: whole exome/genome sequencing and variant interpretation 4 Polygenic risk scores: GWAS summary statistics and clinical utility
Step 12 advanced 4-6 weeks
Biotech Entrepreneurship & Industry Applications Translate scientific knowledge into commercial impact by understanding biotech funding, IP strategy, regulatory pathways, and company building.
Curriculum
1 Biotech startup landscape: therapeutics, tools, agriculture, and industrial bio 2 Funding stages: SBIR/STTR grants, seed rounds, Series A, and venture capital 3 Intellectual property: patents, trade secrets, licensing, and freedom to operate 4 Technology transfer: university TTO processes and spin-out formation Ready to start this journey? Browse our courses and books to begin your learning path.
Organic chemistry: functional groups, reaction mechanisms, and stereochemistry
6 Thermodynamics and free energy in biological systems Tools & Platforms
Alberts Molecular Biology of the Cell Khan Academy (AP Biology/Chemistry) PyMOL for protein visualisation ChemDraw / MarvinSketch
5 Molecular cloning: restriction enzymes, ligases, plasmid vectors, and transformation
6 Gel electrophoresis, Southern/Northern/Western blotting, and reporter assays Tools & Platforms
Benchling (molecular biology platform) SnapGene / ApE (plasmid editors) NCBI Primer-BLAST Addgene (plasmid repository)
Step 2 beginner 6-8 weeks
Molecular Biology & Genetics Study DNA replication, gene regulation, and core laboratory techniques like PCR, cloning, and gel electrophoresis.
Curriculum
1 DNA replication machinery: helicases, polymerases, ligases, and Okazaki fragments 2 Transcription regulation: promoters, enhancers, operons, and transcription factors 3 Epigenetics: DNA methylation, histone modification, and chromatin remodelling 4 PCR, RT-PCR, and qPCR: primer design, thermal cycling, and quantification 5 Molecular cloning: restriction enzymes, ligases, plasmid vectors, and transformation 6 Gel electrophoresis, Southern/Northern/Western blotting, and reporter assays Tools & Platforms
Benchling (molecular biology platform) SnapGene / ApE (plasmid editors) NCBI Primer-BLAST Addgene (plasmid repository)
5 Genome annotation: gene finding, functional annotation, and pathway analysis
6 Statistical genomics: multiple testing correction, GWAS, and eQTL analysis Tools & Platforms
Python (Biopython) / R (Bioconductor) BLAST / HMMER AlphaFold / ColabFold Galaxy Project (web-based workflows)
Step 3 intermediate 6-8 weeks
Bioinformatics & Computational Biology Learn to analyse biological data computationally with sequence alignment, phylogenetics, protein structure prediction, and genome annotation.
Curriculum
1 Sequence alignment: pairwise (Needleman-Wunsch, Smith-Waterman) and multiple (CLUSTAL, MUSCLE) 2 BLAST: local alignment heuristics, E-values, and database searching 3 Phylogenetic analysis: maximum likelihood, Bayesian inference, and tree construction 4 Protein structure prediction: homology modelling, AlphaFold, and ESMFold 5 Genome annotation: gene finding, functional annotation, and pathway analysis 6 Statistical genomics: multiple testing correction, GWAS, and eQTL analysis Tools & Platforms
Python (Biopython) / R (Bioconductor) BLAST / HMMER AlphaFold / ColabFold Galaxy Project (web-based workflows)
5 Read alignment (BWA, Bowtie2), variant calling (GATK), and genome assembly (SPAdes, Hifiasm)
6 Quality control: FastQC, trimming, and contamination screening Tools & Platforms
Illumina BaseSpace / MiSeq Oxford Nanopore MinION / MinKNOW BWA / Bowtie2 / Minimap2 GATK / bcftools / samtools
Step 4 intermediate 6-8 weeks
Genomics & Sequencing Technologies Understand DNA sequencing technologies from Sanger to nanopore, and master sequencing data analysis workflows.
Curriculum
1 Sanger sequencing: chain termination method and capillary electrophoresis 2 Illumina short-read sequencing: bridge amplification, sequencing by synthesis, and paired-end reads 3 PacBio HiFi: single-molecule real-time sequencing and circular consensus 4 Oxford Nanopore: nanopore translocation, base calling, and adaptive sampling 5 Read alignment (BWA, Bowtie2), variant calling (GATK), and genome assembly (SPAdes, Hifiasm) 6 Quality control: FastQC, trimming, and contamination screening Tools & Platforms
Illumina BaseSpace / MiSeq Oxford Nanopore MinION / MinKNOW BWA / Bowtie2 / Minimap2 GATK / bcftools / samtools
5 Base editing (CBE, ABE) and prime editing for precise single-nucleotide changes
6 CRISPRi/CRISPRa for gene regulation and CRISPR screens (Perturb-seq) Tools & Platforms
Benchling (gRNA design) CRISPOR / CRISPRscan Addgene CRISPR plasmids CRISPResso2 (editing analysis)
Step 5 intermediate 6-8 weeks
Gene Editing (CRISPR-Cas9) Master the CRISPR-Cas9 gene editing system including guide RNA design, delivery methods, and advanced editing techniques.
Curriculum
1 CRISPR-Cas9 mechanism: guide RNA, PAM recognition, and double-strand break repair 2 Guide RNA design: on-target scoring, off-target prediction, and specificity 3 HDR vs NHEJ repair pathways for knock-in and knock-out strategies 4 Delivery methods: viral vectors (AAV, lentivirus), electroporation, and lipid nanoparticles 5 Base editing (CBE, ABE) and prime editing for precise single-nucleotide changes 6 CRISPRi/CRISPRa for gene regulation and CRISPR screens (Perturb-seq) Tools & Platforms
Benchling (gRNA design) CRISPOR / CRISPRscan Addgene CRISPR plasmids CRISPResso2 (editing analysis)
5
DNA assembly methods: Golden Gate, Gibson Assembly, and MoClo
6 Computational circuit design with Cello and characterisation with flow cytometry Tools & Platforms
Cello (genetic circuit CAD) iBioSim / SBOL Designer iGEM Parts Registry Benchling
Step 6 intermediate 6-8 weeks
Synthetic Gene Circuit Design Design genetic circuits that implement logic, sensing, and feedback using standardised biological parts and computational design tools.
Curriculum
1 Genetic toggle switches, repressilators, and pulse generators 2 Boolean logic gates (AND, OR, NOT, NAND) in living cells 3 Biosensor design: ligand-responsive promoters and riboswitch circuits 4 Part standardisation: BioBricks, iGEM Registry, and SBOL data standard 5 DNA assembly methods: Golden Gate, Gibson Assembly, and MoClo 6 Computational circuit design with Cello and characterisation with flow cytometry Tools & Platforms
Cello (genetic circuit CAD) iBioSim / SBOL Designer iGEM Parts Registry Benchling
5
Fermentation scale-up: bioreactor design, fed-batch, and continuous culture
6 Design-build-test-learn (DBTL) cycle and combinatorial pathway libraries Tools & Platforms
COBRApy / COBRA Toolbox OptKnock / OptFlux Benchling / TeselaGen JMP / Design Expert (DOE)
Step 7 advanced 6-8 weeks
Metabolic Engineering Engineer cellular metabolism to produce biofuels, pharmaceuticals, and chemicals using flux analysis and iterative design-build-test-learn cycles.
Curriculum
1 Stoichiometric modelling and flux balance analysis (FBA) 2 Pathway optimisation: gene overexpression, knockouts, and dynamic regulation 3 Chassis organism selection: E. coli, S. cerevisiae, CHO, and Pichia pastoris 4 Cofactor engineering and precursor supply optimisation 5 Fermentation scale-up: bioreactor design, fed-batch, and continuous culture 6 Design-build-test-learn (DBTL) cycle and combinatorial pathway libraries Tools & Platforms
COBRApy / COBRA Toolbox OptKnock / OptFlux Benchling / TeselaGen JMP / Design Expert (DOE)
5 Enzyme engineering: activity, specificity, thermostability, and solvent tolerance
6 High-throughput screening: FACS, microfluidic droplets, and activity assays Tools & Platforms
Rosetta / RoseTTAFold AlphaFold / ProteinMPNN PyMOL / ChimeraX Benchling
Step 8 advanced 6-8 weeks
Protein Engineering & Design Design and engineer proteins with novel functions using directed evolution, rational design, and machine-learning-guided approaches.
Curriculum
1 Protein folding: thermodynamics, energy landscapes, and Levinthal paradox 2 Directed evolution: error-prone PCR, DNA shuffling, and phage/yeast display 3 Rational design: active site engineering, disulfide bridges, and stability mutations 4 Machine learning for protein design: ProteinMPNN, ESM-2, and RFdiffusion 5 Enzyme engineering: activity, specificity, thermostability, and solvent tolerance 6 High-throughput screening: FACS, microfluidic droplets, and activity assays Tools & Platforms
Rosetta / RoseTTAFold AlphaFold / ProteinMPNN PyMOL / ChimeraX Benchling
5
LIMS integration, sample tracking, and electronic lab notebooks
6 Closed-loop automation: coupling robotic experiments with ML-guided design Tools & Platforms
Opentrons (open-source liquid handler) Hamilton STAR / Beckman Biomek Benchling / LIMS systems Python (lab automation scripting)
Step 9 intermediate 4-6 weeks
Lab Automation & Robotics Scale biological experiments with liquid handling robots, high-throughput screening, and closed-loop automated workflows.
Curriculum
1 Liquid handling automation: pipetting protocols, plate layouts, and calibration 2 Automated colony picking, plating, and culture management 3 High-throughput screening: 96/384-well assays, plate readers, and data pipelines 4 Microfluidics: droplet-based screening and organ-on-a-chip devices 5 LIMS integration, sample tracking, and electronic lab notebooks 6 Closed-loop automation: coupling robotic experiments with ML-guided design Tools & Platforms
Opentrons (open-source liquid handler) Hamilton STAR / Beckman Biomek Benchling / LIMS systems Python (lab automation scripting)
5 Human germline editing ethics: Asilomar, He Jiankui case, and international consensus
6 Gene drives, synthetic organisms, and environmental release considerations Tools & Platforms
NIH Guidelines for Research Involving rDNA iGEM Safety resources WHO Biosafety Manual Nuffield Council on Bioethics reports
Step 10 intermediate 3-4 weeks
Bioethics & Regulatory Frameworks Navigate the ethical, safety, and regulatory landscape of synthetic biology including biosafety, GMO regulations, and dual-use concerns.
Curriculum
1 Biosafety levels (BSL-1 to BSL-4) and institutional biosafety committees (IBCs) 2 GMO regulations: FDA, EPA, USDA coordinated framework (US); EMA (EU) 3 Gene therapy regulatory pathway: IND applications and clinical trial phases 4 Dual-use research of concern (DURC) and gain-of-function oversight 5 Human germline editing ethics: Asilomar, He Jiankui case, and international consensus 6 Gene drives, synthetic organisms, and environmental release considerations Tools & Platforms
NIH Guidelines for Research Involving rDNA iGEM Safety resources WHO Biosafety Manual Nuffield Council on Bioethics reports
5 Genetic testing and counselling: ACMG variant classification and return of results
6 HIPAA, GINA, and genetic data privacy and anti-discrimination protections Tools & Platforms
ClinVar / OMIM / gnomAD IGV (Integrative Genomics Viewer) VarSome / InterVar (variant interpretation) 23andMe / Illumina clinical panels
Step 11 advanced 6-8 weeks
Clinical Genomics & Precision Medicine Apply genomics to healthcare through pharmacogenomics, cancer profiling, rare disease diagnosis, and precision medicine approaches.
Curriculum
1 Pharmacogenomics: CYP450 variants, drug metabolism, and dosing guidelines 2 Cancer genomics: tumour mutational burden, driver mutations, and liquid biopsy (ctDNA) 3 Rare disease diagnosis: whole exome/genome sequencing and variant interpretation 4 Polygenic risk scores: GWAS summary statistics and clinical utility 5 Genetic testing and counselling: ACMG variant classification and return of results 6 HIPAA, GINA, and genetic data privacy and anti-discrimination protections Tools & Platforms
ClinVar / OMIM / gnomAD IGV (Integrative Genomics Viewer) VarSome / InterVar (variant interpretation) 23andMe / Illumina clinical panels
5 Regulatory pathways: IND, NDA, 510(k), PMA, and EUA for different product types
6 Team building, scientific advisory boards, and investor pitch strategies Tools & Platforms
USPTO / EPO patent databases SEC EDGAR (biotech IPO filings) PitchBook / Crunchbase Y Combinator Bio resources
Step 12 advanced 4-6 weeks
Biotech Entrepreneurship & Industry Applications Translate scientific knowledge into commercial impact by understanding biotech funding, IP strategy, regulatory pathways, and company building.
Curriculum
1 Biotech startup landscape: therapeutics, tools, agriculture, and industrial bio 2 Funding stages: SBIR/STTR grants, seed rounds, Series A, and venture capital 3 Intellectual property: patents, trade secrets, licensing, and freedom to operate 4 Technology transfer: university TTO processes and spin-out formation 5 Regulatory pathways: IND, NDA, 510(k), PMA, and EUA for different product types 6 Team building, scientific advisory boards, and investor pitch strategies Tools & Platforms
USPTO / EPO patent databases SEC EDGAR (biotech IPO filings) PitchBook / Crunchbase Y Combinator Bio resources