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
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sita_core-0.1.0.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sita_core-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.8 kB
Release files / sita_core-0.1.0.tar.gz
| Download URL | sita_core-0.1.0.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
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Release files / sita_core-0.1.0-py3-none-any.whl
| Download URL | sita_core-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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