Henry Loeffler-Wirth
SEEK ID: https://armlifebank.am/people/25
Location:
Germany
ORCID:
https://orcid.org/0000-0001-8239-440X
Joined: 9th May 2025
Expertise: Not specified
Tools: Not specified
Their tagsRelated items
This Programme focuses on the development, implementation, and application of bioinformatics tools for the analysis of large-scale genomic datasets. It aims to facilitate the processing, integration, and interpretation of high-throughput sequencing data, including whole-genome, transcriptome, and epigenome analyses. The Programme encompasses computational approaches for variant discovery, gene expression profiling, network biology, and multi-omics data integration.
Projects: Biological pathway activity analysis, ML approaches for omic data analysis, Tools for Telomere Biology
Web page: Not specified
This Programme offers a comprehensive summary of various projects focused on deciphering the intricate molecular mechanisms of cancer development, progression, and response to treatments, utilizing bioinformatics, computational biology, and machine learning. These are multi-laboratory efforts carried out across several research institutions, supported by various grant programs.
Projects: Molecular Profiling of Cancer Metastases, Molecular characterization of cancers with long-read RNA sequencing, Multi-Omics Molecular Diversity of Cancers
Web page: Not specified
This project focuses on developing and applying machine learning (ML) methodologies to analyze complex omic datasets, including genomics, transcriptomics, proteomics, and metabolomics. By leveraging advanced ML techniques, the project aims to uncover novel biological insights, identify biomarkers, and enhance our understanding of molecular mechanisms underlying various diseases. The initiative is a collaborative effort maintained by the Institute of Molecular Biology NAS RA (IMB), ...
Programme: Bioinformatics Tools for Analysis of Big Genomic Data
Public web page: Not specified
The overarching objective of this project is to utilize nanopore sequencing technology and to develop machine learning–based pipelines for the integrative analysis of heterogeneous biological "big data," including multi-omic and phenotypic datasets. The goal is to investigate the molecular mechanisms underlying selected cancers and to identify novel omics-based markers for cancer classification, diagnostics, and prognostics.
Programme: Cancer Omics
Public web page: Not specified
Start date: 1st Sep 2021
End date: 30th Sep 2026
Abstract (Expand)
Authors: T. Konecny, N. Zadirako, A. Grigoryan, M. Tamazyan, S. Mnatsakanyan, L. Stepanyan, H. Loeffler-Wirth, S. Bourdelais, G. Mednick, C. Delepine, D. Chand, H. Binder
Date Published: 16th Jun 2026
Publication Type: Journal
Abstract (Expand)
Authors: F. Czernilofsky, A. Mathioudaki, L. Jopp-Saile, R. Lutz, D. Vonficht, X. Wang, C. Schniederjohann, H. Voehringer, T. Roider, M. A. Baertsch, C. Rodemer, H. Loffler-Wirth, M. Grau, D. Fitzgerald, J. Mammen, J. Kosla, N. Liebers, P. M. Bruch, D. Ordonez-Rueda, A. Brobeil, G. Mechtersheimer, C. Pabst, C. Muller-Tidow, A. Trumpp, M. Seifert, F. Neumann, M. Heikenwalder, V. Benes, W. Huber, J. Distler, G. Lenz, H. Binder, R. Siebert, G. P. Nolan, M. Gerstung, J. B. Zaugg, D. Hubschmann, S. Haas, S. Dietrich
Date Published: 31st Mar 2026
Publication Type: Journal
Abstract (Expand)
Authors: H. Binder, U. Hampel, H. Loeffler-Wirth, F. Hansmann, H. Pfannkuche, M. Schmidt, M. R. Schneider
Date Published: 19th Sep 2025
Publication Type: Journal
Abstract
Authors: A. Stubenvoll, M. Schmidt, J. Moeller, M. A. L. Chango, C. Schultz, O. Antoniadou, H. Loeffler-Wirth, S. Bernhart, F. Grosse, B. Thier, A. Paschen, U. Anderegg, J. C. Simon, M. Ziemer, C. T. Schoeder, H. Binder, M. Kunz
Date Published: 15th Jan 2025
Publication Type: Journal
Abstract (Expand)
Authors: Henry Loeffler-Wirth, Michael Rade, Arsen Arakelyan, Markus Kreuz, Markus Loeffler, Ulrike Koehl, Kristin Reiche, Hans Binder
Date Published: 28th Sep 2022
Publication Type: Journal
