DTU Biosustain's repositories
snakemake_UmetaFlow
Untargeted metabolomics workflow for large-scale data processing and analysis implemented in Snakemake
pyOpenMS_UmetaFlow
Untargeted metabolomics workflow for data processing and analysis written in Jupyter notebooks (Python)
pseudobatch
The Pseudobatch transformation is a method to easy analysis of measurement from a fed-batch fermentation process. After transformation, the data can be analysed as if it was obtained from a batch fermentation process. The Pseudobatch transformation is especially useful for fed-batch processes where samples where drawn from the bioreactor.
git-tutorial
VS Code on Binder
Growth-coupling-suite
A constraint-based metabolic model-based workflow for computing and analyzing microbial strain design which couple a target reaction to growth
dsp_nextflow_training
Hands-on Nextflow training materials and information
dsp_workshop_bash
Resources to be used in conjunction with the Bash workshop from the Data Science Platform
dsp_workshop_datavizR
Workshop Data Science
git-training-table-cool
A git training repository for table Cool
Alleleome
Tools to generate core- and panalleleomes.
benchling-resources
Benchling resources created at DTU Biosustain.
bgcflow
Snakemake workflow for the analysis of biosynthetic gene clusters across large collections of genomes (pangenomes)
dsp_nfcore-nanoseq
Nanopore demultiplexing, QC and alignment pipeline
dsp_nfcore_rnaseq
Guide to run nf-core RNA sequencing analysis pipeline in our Azure cloud infrastructure
dsp_nfcore_taxprofiler
Taxonomica profiling using nf-core/taxprofiler pipeline
dsp_notes_template_test
Example template testing for course
dsp_pandas
Organize pandas based functionality across projects.
git_training_henry_recording
Demo repo for git and GitHub live demo recording
notes_template
Notes template build on Sphinx, Myst parser and a template
simplified_data_science_project_template
A template for data science projects. Simplified, based on datadriven.org's cookiecutter.