Gene Center Munich

Breadcrumb Navigation


Mages Lab - Physics of High-Dimensional Biological Data

mages_main Research Topics

  • Spatial Omics
  • Physics-inspired Omics Data Analysis
  • Modular Analysis Frameworks
  • Data Integration

Dr. Simon Mages

phone: +49 (0)89 - 2180 71051

To understand life on a fundamental level, our group develops methods to systematically analyze the dynamics and interactions of cells and their constituents in the joint space built from position space and internal high-dimensional feature or state space of biological entities using state-of-the-art spatial omics data. For this, we work at the intersection of bioinformatics, big data, high performance computing, and theoretical physics. Read more...

Selected Publications

TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics.
Mages S, Moriel N, Avraham-Davidi I, Murray E, Watter J, Chen F, Rozenblatt-Rosen O, Klughammer J, Regev A and Nitzan M.
Nature Biotechnology, 16 Feb 2023, doi: 10.1038/s41587-023-01657-3.

Emergence of division of labor in tissues through cell interactions and spatial cues.
Adler M, Moriel N, Goeva A, Avraham-Davidi I, Mages S, Adams TS, Kaminski N, Macosko EZ, Regev A, Medzhitov R and Nitzan M.
Cell Reports, vol. 42, p. 112412, 20 April 2023, doi: 10.1016/j.celrep.2023.112412.

Lattice QCD on nonorientable manifolds.
Mages S, Toth BC, Borsanyi S, Fodor Z, Katz SD and Szabo KK.
Phys. Rev., vol. D95, p. 094512, 2017, doi: 10.1103/PhysRevD.95.094512.

Calculation of the axion mass based on high-temperature lattice quantum chromodynamics.
Borsanyi S, Fodor Z, Kampert KH, Katz SD, Kawanai T, Kovacs TG, Mages SW, Pasztor A, Pittler F, Redondo J, Ringwald A and Szabo KK.
Nature, vol. 539, pp. 69-71, 2016, doi: 10.1038/nature20115.

More publications