Technical University of Munich (TUM)
Technische Universität München (TUM)
Germany
The Technical University of Munich (TUM) is one of Europe’s leading universities in science and technology, and one of Germany’s Universities of Excellence. With our research agenda “human-centered engineering“ we put people and their lives at the heart of our scientific endeavours – whether we are investigating the origins of life, matter and the universe, or looking for solutions to the major challenges for our society.
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Portrait: Technical University of Munich – 150 Years culture of excellence1 October 2019 - 30 September 2020
Region: Global
Subject/journal group: All
The table to the right includes counts of all research outputs for Technical University of Munich (TUM) published between 1 October 2019 - 30 September 2020 which are tracked by the Nature Index.
Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.
Note: Articles may be assigned to more than one subject area.
| Count | Share |
|---|---|
| 617 | 164.64 |
Outputs by subject (Share)
| Subject | Count | Share | |
|---|---|---|---|
| Chemistry | 149 | 63.28 | |
| Physical Sciences | 279 | 61.54 | |
| Life Sciences | 231 | 42.74 | |
| Earth & Environmental Sciences | 25 | 8.60 | |
Highlight of the month
Forecasting the future state of cells with AI
© MR.Cole_Photographer/Getty
AI modelling of gene dynamics in single cells could be used to predict how individual cells will develop.
RNA velocity is the speed at which the expression of each gene in a cell is increasing or decreasing at a given moment. Conventional single-cell sequencing methods measure it only from static snapshots, limiting its use for predicting how a cell will develop.
Now, a team led by researchers at the Technical University of Munich has created an open-access AI model called scVelo to estimate the RNA velocity of dynamic biological systems.
They used machine learning methods to teach scVelo the likelihood of every possible way a gene could act at any point during a cell’s development. The team used scVelo to analyse cell development in the mouse pancreas and in regenerating human lung tissues.
scVelo could be used to study cellular responses to disease progression and cancer treatment.
- Nature Biotechnology 38, 1408–1414 (2020). doi: 10.1038/s41587-020-0591-3
See more research highlights from Technical University of Munich (TUM)
More research highlights from Technical University of Munich (TUM)
Top articles by Altmetric score in current window
1 October 2019 - 30 September 2020
International vs. domestic collaboration by Share
- 40.13% Domestic
- 59.87% International
Note: Hover over the graph to view the percentage of collaboration.
Top 10 domestic collaborators by Share (189 total)
- Technical University of Munich (TUM), Germany
- Domestic institution
-
Helmholtz Association of German Research Centres, Germany
(77.81)
-
Ludwig Maximilians University of Munich (LMU), Germany
(72.41)
-
Max Planck Society, Germany
(59.79)
-
Leibniz Association, Germany
(21.20)
-
Union of the German Academies of Sciences and Humanities, Germany
(15.60)
-
Heidelberg University (Uni Heidelberg), Germany
(12.14)
-
University of Tübingen (Uni Tübingen), Germany
(10.61)
-
University of Würzburg (JMU), Germany
(7.69)
-
Dresden University of Technology (TU Dresden), Germany
(7.38)
-
Goethe University Frankfurt (GU), Germany
(7.15)
Top 10 international collaborators by Share (1849 total)
- Technical University of Munich (TUM), Germany
- Foreign institution
-
French National Centre for Scientific Research (CNRS), France
(12.32)
-
National Institute for Nuclear Physics (INFN), Italy
(12.14)
-
Harvard University, United States of America (USA)
(11.88)
-
University of Cambridge, United Kingdom (UK)
(8.29)
-
Stanford University, United States of America (USA)
(7.11)
-
UCL, United Kingdom (UK)
(6.96)
-
Chinese Academy of Sciences (CAS), China
(6.37)
-
Swiss Federal Institute of Technology Zurich (ETH Zurich), Switzerland
(5.94)
-
Imperial College London (ICL), United Kingdom (UK)
(5.70)
-
University of Oxford, United Kingdom (UK)
(5.12)
Note: Collaboration is determined by the fractional count (Share), which is listed in parentheses.
Affiliated joint institutions and consortia
- Heinz Maier-Leibnitz Zentrum (MLZ), Germany
- ALICE Collaboration, Switzerland
- Bavarian NMR Center (BNMRZ), Germany
- Belle Collaboration, Japan
- Bernstein Center for Computational Neuroscience Munich (BCCN), Germany
- Borexino Collaboration, Italy
- COMPASS Collaboration, Switzerland
- Center of Allergy and Environment (ZAUM), Germany
- Centre for Neural Engineering (CfNE), Australia
- Cluster of Excellence - e-conversion, Germany
- Consortium for Refractive Error and Myopia (CREAM), Netherlands
- DZHK Partner Site Munich, Germany
- DZIF Partner Site Munich, Germany
- DZNE Site Munich, Germany
- Double Chooz Collaboration, France
- EchoGen Consortium, Netherlands
- Enriched Xenon Observatory (EXO), United States of America (USA)
- Excellence Cluster Origins, Germany
- Global BPGen Consortium, United States of America (USA)
- HMGU Clinical Cooperation Group Antigen-specific Immunotherapy, Germany
- HMGU Clinical Cooperation Group Immune Monitoring, Germany
- HMGU-TUM Clinical Cooperation Group Nutrigenomics and Type-2-Diabetes Mellitus, Germany
- Hall A Collaboration, United States of America (USA)
- Helmholtz Virtual Institute of Complex Molecular Systems in Environmental Health (HICE), Germany
- Human Brain Project (HBP), Switzerland
- IceCube Collaboration, United States of America (USA)
- Institute for Biological and Medical Imaging (IBMI), Germany
- Institute of Virology, Germany
- International Brachypodium Initiative (IBI), United States of America (USA)
- International Max Planck Research School for Molecular Life Sciences (IMPRS-LS), Germany
- International Multiple Sclerosis Genetics Consortium (IMSGC), United States of America (USA)
- Max Planck School Matter to Life, Germany
- Munich Center for Quantum Science and Technology (MCQST), Germany
- Munich GeoCenter (MGC), Germany
- Munich Heart Alliance (MHA), Germany
- Munich Quantum Center (QMC), Germany
- Straubing Centre of Science (WZS), Germany
- TUM CREATE, Singapore
- The AMD Gene Consortium, Germany
- The Cardiogenics Project, Germany
- The GERmanium Detector Array (GERDA), Italy
- The LAGUNA-LBNO Collaboration, Switzerland
- The QT Interval International GWAS Consortium (QT-IGC), United States of America (USA)
- Universitary Center of Health Sciences at Klinikum Augsburg (UNIKA-T), Germany
Numerical information only is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
