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@saezlab

Saez Lab

Julio Saez-Rodriguez's group @ EMBL-EBI and Heidelberg University

Saez Lab

Welcome to Saez Lab!

We are a research group at Heidelberg University and the European Bioinformatics Institute, part of the European Molecular Biology Laboratory (EMBL-EBI).

Our goal is to acquire a functional understanding of the deregulation of signalling networks in disease and to apply this knowledge to develop novel therapeutics. We focus on cancer, heart failure, auto-immune and fibrotic disease. Towards this goal, we integrate big (‘omics’) data with mechanistic molecular knowledge into statistical and machine learning methods. To this end, we have developed a range of tools in different areas of biomedical research, mainly using the programming languages R and Python.

Resources

Legend:     Home page     R code     Python code     Package     Article       Docs


BioCypher CARNIVAL CellNOpt CollecTRI
BioCypher A unifying framework for biomedical research knowledge graphs CARNIVAL Causal reasoning to explore mechanisms in molecular networks CellNOpt Train logic models of signaling against omics data CollecTRI Collection of Transcriptional Regulatory Interactions
     PYPI        BIOC        BIOC           
CORNETO COSMOS Decoupler DoRothEA
CORNETO Unified framework for network inference problems COSMOS Mechanistic insights across multiple omics Decoupler Infer biological activities from omics data using a collection of methods DoRothEA Transcription factor activity inference
   PYPI        BIOC              PYPI     BIOC               
DOT LIANA+ MetalinksDB MetaProViz
DOT Optimization framework for transferring cell features from a reference data to spatial omics LIANA+ Framework to infer inter- and intra-cellular signalling from single-cell and spatial omics MetalinksDB Database of protein-metabolite and small molecule ligand-receptor interactions MetaProViz Metabolomics functional analysis and visualization
                       
MISTy NetworkCommons ocEAn OmniPath
MISTy Explainable machine learning models for single-cell, highly multiplexed, spatially resolved data NetworkCommons Context specific networks from omics data and prior-knowledge ocEAn Metabolic enzyme enrichment analysis OmniPath Networks, pathways, gene annotations from 180+ databases
     BIOC        PYPI               BIOC       PYPI       PYPI     CYTO      
PHONEMeS PROGENy
PHONEMeS Logic modeling of phosphoproteomics PROGENy Activities of canonical pathways from transcriptomics data
                BIOC    

More resources: See them in the Resources section of our webpage. Docker: A container with all our tools is available.

Popular repositories Loading

  1. decoupleR decoupleR Public

    R package to infer biological activities from omics data using a collection of methods.

    R 231 25

  2. liana liana Public

    LIANA: a LIgand-receptor ANalysis frAmework

    R 196 33

  3. liana-py liana-py Public

    LIANA+: an all-in-one framework for cell-cell communication

    Python 196 24

  4. decoupler-py decoupler-py Public

    Python package to perform enrichment analysis from omics data.

    Python 184 27

  5. dorothea dorothea Public

    R package to access DoRothEA's regulons

    R 142 26

  6. pypath pypath Public

    Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotations and intercellular communication roles.

    Python 138 48

Repositories

Showing 10 of 260 repositories
  • greta Public

    Benchmark of GRNs using the GRETA pipeline

    saezlab/greta’s past year of commit activity
    Python 23 GPL-3.0 0 1 0 Updated Mar 22, 2025
  • networkcommons Public

    NetworkCommons is a community-driven platform designed to simplify access to tools and resources for inferring context-specific protein interaction networks by integrating context-agnostic prior knowledge with omics data.

    saezlab/networkcommons’s past year of commit activity
    Python 20 GPL-3.0 4 14 2 Updated Mar 21, 2025
  • MetaProViz Public

    R-package to perform metabolomics pre-processing, differential metabolite analysis, metabolite clustering and custom visualisations.

    saezlab/MetaProViz’s past year of commit activity
    R 13 GPL-3.0 2 13 0 Updated Mar 21, 2025
  • kasumi_bench Public
    saezlab/kasumi_bench’s past year of commit activity
    R 5 GPL-3.0 0 0 0 Updated Mar 21, 2025
  • pypath Public

    Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotations and intercellular communication roles.

    saezlab/pypath’s past year of commit activity
    Python 138 GPL-3.0 48 12 2 Updated Mar 20, 2025
  • lipinet Public

    LipiNet: A comprehensive tool for integrating and analyzing multilayer lipidomic networks. Leverage lipid interactions, pathways, and hierarchies to unlock insights into lipid metabolism and molecular functions.

    saezlab/lipinet’s past year of commit activity
    Jupyter Notebook 1 GPL-3.0 0 0 0 Updated Mar 19, 2025
  • reheat2_pub Public

    Multicellular Transcriptional Landscape of Heart Failure

    saezlab/reheat2_pub’s past year of commit activity
    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Mar 18, 2025
  • onionnet Public

    OnionNet

    saezlab/onionnet’s past year of commit activity
    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Mar 16, 2025
  • corneto Public

    Unified knowledge-driven network inference from omics data

    saezlab/corneto’s past year of commit activity
    Python 32 GPL-3.0 4 5 0 Updated Mar 14, 2025
  • corneto-manuscript-experiments Public

    Results using CORNETO, included in the manuscript

    saezlab/corneto-manuscript-experiments’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Mar 14, 2025