baumgast's repositories
Computational-analysis-of-stochastic-gene-expression-at-the-single-cell-level
Summer school teaching material: stochastic simulations (SSA) and MCMC parameter estimation
gene_transcription_SMC_ABC
Python code to fit stochastic models to single cell gene transcription data
Language:Jupyter Notebook000
cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
NOASSERTION000
mathematica
all mathematica notebooks
000
peakfinder
R script to find pulling events in a spindle pole position time course
qPCR-time-series
scripts and functions to analyse qPCR time series data plus the data itself
000
Language:R000
spindleManuscript
spindle manuscript