Name: Data Science in Systems Biology
Type: Organization
Bio: The research group Data Science in Systems Biology at the School of Life Sciences, Technical University of Munich
Location: Freising, Germany
Blog: daisybio.de
Data Science in Systems Biology's Projects
Pipeline for the systematic analysis of circRNAs that act as miRNA sponges
ASimulatoR: splice-aware RNA-seq data simulation https://doi.org/10.1093/bioinformatics/btab142
Network Constrained Biclustering PyPI package
Network Constrained Biclustering (BiCoN) web platform
The python package to the Cancer Driver Drug Interaction Explorer (CADDIE)
Scripts, documentation and results for the Bachelor Thesis "Analysis of Circular RNAs As miRNA Sponges".
Bioinformatics course for PhD students with background in molecular biology and basic knowledge of R. The aim is to learn and apply principles of differential gene expression analysis and machine learning
A Systematic Comparison of Differential Analysis Methods for CyTOF Data & CYANUS App
Code associated with the paper "A systematic comparison of novel and existing differential analysis methods for CyTOF data", more specifically, the data generation and the DE methdos comparison
CyEMD: A differential analysis method developed for CyTOF data
Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'
Fork for developing Digger 2.0
Dive's deployment files
A docker-compose configuration to build an HTS platform with OpenLabFramework, SAVANAH, MIRACLE, HiTSeekR and KeyPathwayMinerWeb all readily configured, interlinked and supported by service images.