- Alternative title
-
Assemblierung und Analyse von Next-Generation Sequenzdaten
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2017
- Classification
-
Biowissenschaften, Biologie
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2017
- Creator
-
Schwarzmayr, Thomas
- Contributor
-
Rost, Burkhard
Strom, Tim M.
- URN
-
urn:nbn:de:bvb:91-diss-20171123-1361029-1-1
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schwarzmayr, Thomas
- Rost, Burkhard
- Strom, Tim M.
- Universitätsbibliothek der TU München
Time of origin
- 2017
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Automatic sensor networks for verifying disarmament of aircraft
Rendering protein mutation movies with MutAmore
Predict impact of single amino acid change upon protein structure
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Correlating protein function and stability through the analysis of single amino acid substitutions
Assessing the role of evolutionary information for enhancing protein language model embeddings
Next Generation Machine Learning Prediction of Protein Cellular Sorting
Multi-omics analysis of stress-related diseases
Sequence-based prediction of protein-protein interactions
Large Classifier Systems in Bio- and Cheminformatics
Next-Generation Sequencing Data Analysis
Neuronale Netzwerke und evolutionäre Information : verbesserte Vorhersage der Sekundärstruktur von Proteinen ; (abgefasst in Englisch)
Automatic sensor networks for verifying disarmament of aircraft
Rendering protein mutation movies with MutAmore
Predict impact of single amino acid change upon protein structure
TMbed: transmembrane proteins predicted through language model embeddings
Correlating protein function and stability through the analysis of single amino acid substitutions
Assessing the role of evolutionary information for enhancing protein language model embeddings
Next Generation Machine Learning Prediction of Protein Cellular Sorting
Multi-omics analysis of stress-related diseases
Sequence-based prediction of protein-protein interactions