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Fluxomics

Fluxomics quantifies the rates of metabolic reactions (fluxes) in living systems. It combines stoichiometric, constraint-based modeling (FBA / FVA via COBRA) with experimentally-resolved 13C metabolic flux analysis (13C-MFA) using isotopologue measurements from LC-MS / GC-MS. It is core to metabolic engineering, cancer metabolism, microbial cell factories and systems biology.

INCAOpenFLUXCOBRApyEscher
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Default learning track

4 phases · ~16–22 weeks

A baseline path through this sector with milestones, prerequisites, and concrete projects. Click Personalize this roadmap above to have the AI tailor pace, depth, and resources to your background and goals.

1

Phase 1 — Foundations

3–4 weeks 30–40 hours

Build the conceptual and quantitative base needed to read papers and follow tutorials in the sector.

Prerequisites

  • Comfortable with basic biology / health-science vocabulary
  • Ability to install software and use a terminal

Skills you'll build

Python or R basicsLinux shellGit/GitHubReading scientific literature

Hands-on projects

Reproducible analysis notebook

Walk through a published tutorial in COBRApy + INCA / OpenFLUX and reproduce its results on the provided sample data.

Deliverable: GitHub repo with a Jupyter/Quarto notebook, environment.yml, and README

Milestones

  • Set up reproducible Conda/Mamba environment and a public GitHub repo
  • Read and summarize 3 review papers covering the sector landscape
  • Complete an intro statistics or scripting course end-to-end
Citation · course
Coursera · Introduction to Systems Biology
Coursera · Icahn School of Medicine at Mount Sinai
Why: Exact sector match (Fluxomics)
Dataset · tool
COBRApy — constraint-based reconstruction & analysis
openCOBRA
Why: Exact sector match (Fluxomics)
2

Phase 2 — Core tools & datasets

4–6 weeks 60–80 hours

Learn the standard analytical stack of the sector and the canonical public datasets used by professionals.

Prerequisites

  • Completed Phase 1 reproducible notebook
  • Working Python/R environment

Skills you'll build

COBRApy + INCA / OpenFLUXData wranglingQC & exploratory analysisVersion-controlled pipelines

Hands-on projects

Dataset deep-dive on BiGG Models + MetaboLights 13C tracer studies

Pick one study from BiGG Models + MetaboLights 13C tracer studies, reproduce the headline result, and write a short technical note on what you found.

Deliverable: GitHub repo + 3-page PDF write-up

Milestones

  • Run the official COBRApy + INCA / OpenFLUX tutorial end-to-end on real data
  • Download and explore one full dataset from BiGG Models + MetaboLights 13C tracer studies
  • Document a clean QC + analysis pipeline that another person could rerun
Citation · course
edX · Dynamic Modeling Methods for Systems Biology
edX · Icahn School of Medicine at Mount Sinai
Why: Exact sector match (Fluxomics)
Dataset · tool
COBRA Toolbox (MATLAB)
openCOBRA
Why: Exact sector match (Fluxomics)
3

Phase 3 — Applied projects

6–8 weeks 80–120 hours

Move from tutorials to original analyses on real questions. Start showing your work publicly.

Prerequisites

  • Phase 2 dataset deep-dive complete
  • Comfortable with the sector's primary tooling

Skills you'll build

End-to-end pipeline designStatistical interpretationScientific writingReproducible reports

Hands-on projects

Strain-level 13C flux re-analysis

Take a published 13C-MFA dataset for E. coli or yeast, fit a stoichiometric model with isotopologue data in INCA/OpenFLUX, and compare fluxes between conditions with FBA constraints in COBRApy.

Deliverable: Reproducible repo + flux map (Escher) + 4-page methods/results brief

Milestones

  • Ship one original mini-analysis on a public dataset with clearly stated hypothesis and limitations
  • Engage with the COBRA Toolbox and Metabolic Flux Analysis community (post a question, answer one, or share a notebook)
  • Get peer feedback on at least one project and iterate
Citation · training
COBRA Toolbox tutorials (FBA, FVA, sampling, MOMA)
openCOBRA
Why: Exact sector match (Fluxomics)
Dataset · dataset
BiGG Models — genome-scale metabolic models
UCSD Systems Biology Research Group
Why: Exact sector match (Fluxomics)
4

Phase 4 — Portfolio & career launch

3–5 weeks 30–50 hours

Package your work, target real roles, and prepare to interview in the sector.

Prerequisites

  • Phase 3 capstone project shipped
  • 2+ public repos under version control

Skills you'll build

Technical CVPortfolio siteInterview prep (case studies + technical questions)Networking

Hands-on projects

Job-ready portfolio package

Curate 2–3 of your strongest sector projects into a portfolio site with clear case-study writeups, plus a 1-page CV tailored to the target role.

Deliverable: Live portfolio URL + PDF CV + cover letter template

Milestones

  • Publish a portfolio site or pinned GitHub README linking to 2–3 projects
  • Tailor CV to 3 real job ads in the sector and submit applications
  • Practice 5 mock technical interviews with sector-specific case studies
Citation · course
Python for Everybody
Coursera · Univ. of Michigan
Why: Exact sector match (Fluxomics)
Dataset · tool
Escher — metabolic pathway maps & flux visualization
King Lab
Why: Exact sector match (Fluxomics)

Curated learning resources

Verified, canonical resources from the official providers in this sector. The AI roadmap builder draws from this same library when it personalizes your roadmap.

Courses

Coursera · Introduction to Systems Biology
Coursera · Icahn School of Medicine at Mount Sinai
edX · Dynamic Modeling Methods for Systems Biology
edX · Icahn School of Medicine at Mount Sinai
Python for Everybody
Coursera · Univ. of Michigan
LinkedIn Learning paths
LinkedIn

Trainings

COBRA Toolbox tutorials (FBA, FVA, sampling, MOMA)
openCOBRA
Software Carpentry lessons
The Carpentries
Kaggle Learn
Kaggle

Documentations

Git & GitHub fundamentals
GitHub Docs

Tools

COBRApy — constraint-based reconstruction & analysis
openCOBRA
COBRA Toolbox (MATLAB)
openCOBRA
Escher — metabolic pathway maps & flux visualization
King Lab
INCA — Isotopomer Network Compartmental Analysis (13C-MFA)
Vanderbilt · Young Lab
OpenFLUX2 — 13C metabolic flux analysis
Quek / Nielsen / Krömer
13CFLUX2 — high-performance 13C-MFA
Forschungszentrum Jülich
MEMOTE — genome-scale model test suite
openCOBRA

Datasets

BiGG Models — genome-scale metabolic models
UCSD Systems Biology Research Group
KEGG Pathway reference
KEGG
Metabolomics Workbench — 13C tracer datasets
NIH Common Fund

Books

R for Data Science (2e)
Hadley Wickham et al.

Typical career paths

Metabolic Flux Analyst (13C-MFA)

Designs 13C tracer experiments, runs MS isotopologue analysis and fits fluxes with INCA / OpenFLUX.

Systems / Constraint-Based Modeler

Builds and curates genome-scale metabolic models in COBRApy, runs FBA/FVA and integrates omics constraints for strain design or disease metabolism.

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