Zum Inhalt springen
Technische Universität München

Software Tools

PRONE: R package and Shiny app for preprocessing, normalizing, and analyzing proteomics data
Web tool for interactively exploring patient-specific dysregulated networks of TCGA data sets computed by DysRegNet
IMMUNEDECONV: A unifying package for in silico cell type deconvolution in immuno-oncology.
CIRCRNA-SPONGING: a nextflow pipeline to identify circRNAs involved in miRNA sponging.
TF-PRIORITIZER: a java pipeline to prioritize condition-specific transcription factors.
SPONGEFFECTS: ceRNA modules offer patient-specific insights into miRNA regulation.
Spicing-aware time-course network enricher - exploratory analysis for transcriptomics and/or proteomics time series data
SIMBU: A simulator for bulk RNA-seq datasets with variable cell-type fractions written in R.
NAMCO: An R shiny app for the end-to-end analysis of 16S rRNA microbiome data.
KPM: de novo network enrichment to integrate multi-omics data with the interactome.
R shiny app for the analysis of cytometry data with a focus on differential analysis.
NEASE: Network-based functional enrichment of alternative splicing.
ASIMULATOR: A simulator for RNA-seq data with alternative splicing events written in R.
BICON: Network-constrained biclustering for patient stratification.
SPONGEDB: A pancancer database on competing endogenous RNA regulations.
DIGGER: Analyze protein-protein and domain-domain interactions in a joint graph.
EPIGEN: An easy-to-use Python pipeline for simulating epistasis data.
ATHENA: Mine the Arabidopsis THaliana ExpressioN Atlas across plant tissues.
WSH: Computing within-sample heterogeneity scores from bisulfte sequencing data.
SPONGE: Inferring genome-wide networks of competing endogenous RNAs.
JAMI: A fast Java tool for conditional mutual information in ceRNA inference.
HITSEEKR: Analyse various types of high-throughput screening data.

Legacy Tools

Process amplicon data and study microbial diversity across the globe
A web app for sample logistics and visual inspection of high-throughput experiments.
A laboratory information management system for functional genomics.
A web app for sample logistics and data analysis of reverse-phase protein arrays.

Category 1

Analyze protein-protein and domain-domain interactions in a joint graph

 

GitHub: 

Paper:

Website:

To top