Skip to content

kalarislabs/research-agent-skills

v1.1.1MIT

281 Agent Skills for researchers: scientific and research paper writing, journal formats, literature review, citations, data science, ML research and domain science.

13c-metabolic-flux

Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics. Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDVs/MIDs), positional isotopomers, parallel tracer experiments, and determining whether labeling data constrain a pathway flux. Distinguishes measured-label inference from COBRA flux balance analysis and flags experiments requiring nonstationary MFA.

Version
1.0
License
MIT
Compatibility
Python 3.11 with uv and Git for installation. Tested with mfapy 0.6.3 at a10433af16682386548b360297e2476152d46ede, NumPy 2.4.6, SciPy 1.17.1, and NLopt 2.11.0. Network access is needed only to install public dependencies. Inference runs locally without credentials; inputs are JSON.
Read SKILL.md at the source

Pinned to revision df088027ff23, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.