Pinned Repositories
animal_gut_16S-uni
codiversification
Code and notes for the Ley Lab's codiversification paper.
DeepMAsED
Deep learning for Metagenome Assembly Error Detection
endoR
Code and manual of the endoR R-package (Ruaud et al, in preparation).
pyTecanFluent
Python interface to TECAN Fluent liquid handling robot
resmico
Identifying misassemblies via deep learning
Struo
Ley Lab MetaGenome Profiler DataBase generator
Struo2
Scalable creating/updating of metagenome profiling databases
SynTracker
SynTracker is a pipeline, designated to determine the biological relatedness of conspecific strains (microbial strains of the same species) using genome synteny.
TwinsUK_virome
Jupyter notebooks and scripts describing the data analysis process in the TwinsUK_virome project
Department of Microbiome Science at the MPI for Biology 's Repositories
leylabmpi/DeepMAsED
Deep learning for Metagenome Assembly Error Detection
leylabmpi/animal_gut_16S-uni
leylabmpi/TwinsUK_virome
Jupyter notebooks and scripts describing the data analysis process in the TwinsUK_virome project
leylabmpi/animal_gut_metagenome_assembly
Code associated with the Ley Lab animal gut metagenome assembly project
leylabmpi/snakemake_profiles
snakemake profiles for cluster configuration
leylabmpi/conda-recipes
Conda recipes for the leylab channel
leylabmpi/conda_env_setup
Installation & setup of conda environments for microbiome data analyses
leylabmpi/data_analysis_workshops
Data analysis workshop material
leylabmpi/demuxShiny
Shiny apps to help with sequence data demultiplexing
leylabmpi/dkw_thesis_notebooks
leylabmpi/leylab_pipelines
General bioinformatic pipelines associated with the Ley Lab at the MPI in Tuebingen
leylabmpi/LeyLabRUtils
R utility package
leylabmpi/Methanomassilii
leylabmpi/microbio_aDiv
leylabmpi/serverAdminShiny
Simple shiny apps for server administration
leylabmpi/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
leylabmpi/Welter_et_al_2020
All data and code associated with Welter et al. 2020