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sita-core

Natural-abundance correction for GC-MS mass distribution vectors from 13C stable-isotope tracer experiments.

Pure-Python library implementing the corrections described in Nanchen, Fuhrer & Sauer (2007) Determination of Metabolic Flux Ratios From 13C-Experiments and Gas Chromatography–Mass Spectrometry Data, Methods in Molecular Biology 358.

Install

pip install sita-core

Usage

from sita_core import LabelledCompound

ala = LabelledCompound(
    formula="C11H26NO2Si2",
    labelled_element="C",
    backbone_c=3,
    mdv_a=[0.6228, 0.1517, 0.0749, 0.1507],
)
corr = ala.correction_matrix()
mdv_star = ala.mdv_star()

See the project repository for the full documentation, CLI, and Flask UI.

Metadata

Release files for sita-core 0.1.0

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