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Tools and Software Packages developed in the Kreutz-Lab

R-Packages:

Name

Description

Link

RTF Package Package for RTF Modelling (DOI: 10.1093) github.com/kreutz-lab/rtf
les Estimates Loci of Enhanced Significance (LES) in tiling microarray data https://www.bioconductor.org/packages//2.12/bioc/html/les.html
DIMAR Package for identification of the optimal imputation method github.com/kreutz-lab/DIMAR
zitools Package for statistical analyses of zero-inflated data github.com/kreutz-lab/zitools
simFrB Package for simulating benchmark data github.com/kreutz-lab/simFrB
CountSpores Package for the analysis of hierarchical count data github.com/kreutz-lab/CountSpores
MBQN Package for normalization of omics data https://www.bioconductor.org/packages/release/bioc/html/MBQN.html
MATLAB Tools:

Name

Description

Link

Data2Dynamics (d2d) Software for ODE modelling in MATLAB tailored to parameter estimation in dynamical systems https://github.com/Data2Dynamics/d2d
Rcall Package for using R in MATLAB github.com/kreutz-lab/Rcall
Benchmarking:

Name

Description

Link

Benchmarking Wiki Wiki as a repository for published benchmark studies with opportunity to publish own results. https://www.benchmarking.uni-freiburg.de/
Benchmarking Models Collection of ODE models with data for evaluating methodologies for data-based modeling. https://github.com/Benchmarking-Initiative/Benchmark-Models
Other Tools:

Name

Description

Link

COVID19Surveillance Agent-based model for finding an optiomal COVID-19 surveillance strategie github.com/kreutz-lab/COVID19Surveillance
Omics characterization Tool for the quality control of omics data (DOI: 10.21203) omicscharacterization.imbi.uni-freiburg.de

Anfahrt/Location (klick on the image):

Address

Institut of Medical Biometry and Statistics
- Methods of Systems Biomedicine / Kreutz-Lab -

Stefan-Meier Str. 26

79104 Freiburg