LHA ID: 7WATP0JCET-3
Location: Germany
ORCID: https://orcid.org/0000-0001-8239-440X
Joined: 16th May 2019
Expertise: Not specified
Tools: Not specified
Think different (University of Leipzig) ; imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies (Interdisciplinary Center for Bioinformatics (IZBI)) ; Vine Bioinformatics - grape genomics for Innovative viticulture (Interdisciplinary Center for Bioinformatics (IZBI)) ; oBIG - omics Bioinformatics for Health (Interdisciplinary Center for Bioinformatics (IZBI)) ; GLA - German Lymphoma Alliance (Interdisciplinary Center for Bioinformatics (IZBI)) ; MMML-MYC-SYS (Interdisciplinary Center for Bioinformatics (IZBI)) ; Leipzig Melanoma Studies (Interdisciplinary Center for Bioinformatics (IZBI)) ; GGN - German Glioma Network (Interdisciplinary Center for Bioinformatics (IZBI)) ; LIFE Adult (Interdisciplinary Center for Bioinformatics (IZBI)) ; Task Force COVID-19 Leipzig (Interdisciplinary Center for Bioinformatics (IZBI)) ; LHA - Leipzig Health Atlas (Interdisciplinary Center for Bioinformatics (IZBI))
Related items
- Projects (13)
- Institutions (2)
- Publications (43)
- Data files (21+2)
- Models (6)
- Documents (1)
- Presentations (1)
- Programmes (7)
The cultivated grape (Vitis vinifera) has become the world’s leading fruit crop. Grape is unique not only because it is a major global perennial crop but also for its historical and cultural connections with the development of humans. One of the main challenges for viticulture is to sustainably maintain the production of high-quality grape varieties in the face of climate change. Current models predict an increasing disease pressure for grapes, mainly because of warmer and partly drier conditions. ...
Programme: European Union’s Horizon 2020
Public web page: https://www.fast.foundation/en/program/847/2022/new_tab/6586/6677
Organisms: Not specified
The Leipzig Health Atlas (LHA) is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields in which our team has scientific and clinical expertise.
Programme: i:DSem - Integrative Datensemantik in der Systemmedizin
Public web page: https://www.health-atlas.de
Start date: 1st Apr 2016
End date: 28th Feb 2021
Organisms: Homo sapiens
This project serves as a container for all COVID-19 related assets, developed at the University of Leipzig and its partners.
Programme: NFDI - German National Research Data Infrastructure
Public web page: https://www.nfdi4health.de/task-force-covid-19
Start date: 20th May 2020
Organisms: Homo sapiens, Severe acute respiratory syndrome coronavirus 2
Human Diseases: COVID-19
NFDI4Health - the National Research Data Infrastructure for Personal Health Data - deals with data generated in clinical trials, epidemiological and public health studies. The collection and analysis of these data on health and disease status and important factors influencing it are an essential component for the development of new therapies, comprehensive care approaches and preventive measures in a modern health care system. Although these data already meet high content quality standards, they ...
Programme: NFDI - German National Research Data Infrastructure
Public web page: https://www.nfdi4health.de/en
Organisms: Not specified
During 2004 and 2012 the german cancer aid supported the german glioma network (GGN). The GGN is a consortium where university hospitals with clinical focus in neuro-oncology, reference centers for neuroradiology, neuropathology, molecular diagnostics and biometry cooperate. Thanks to the long-term support it was possible to build a network of competence centers for the treatment of brain tumors in Germany wich is characterized by a interdisciplinary collaboration of all specialist disciplines ...
Organisms: Not specified
Human Diseases: brain glioma, malignant glioma
Goal of the Leipzig Research Center for Civilization Diseases (LIFE) is the investigation of civilization diseases like depression, diabetes, allergies or cardiovascular diseases. For this purpose we collect as much data as possible regarding health and living conditions of the population in Leipzig and provide these data for scientists of the University of Leipzig and other research institutions.
Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/
Start date: 1st Jan 2009
This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT ...
Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html
Start date: 1st Jan 2009
Organisms: Homo sapiens
Human Diseases: mood disorder, dementia, coronary artery disease, obesity
The aim of oBIG is to establish modern genome bioinformatics in Armenia to investigate genesis and progression of complex diseases. Therefore we will extend the collaboration between the Interdisciplinary Center for Bioinformatics (IZBI) of Leipzig University and the Institute of Molecular Biology (IMB) in Yerevan, Armenia, to accomplish three main aspects of the project:Firstly, current research topics in systems biology of cancer, lung diseases and infections will be addressed by a joint team ...
Programme: Default Programme
Public web page: https://www.izbi.uni-leipzig.de/current-projects/obig/
Organisms: Not specified
The vision of Immune Safety Avatar (imSAVAR) is to develop a platform for integrated nonclinical assessments of immunomodulatory therapy safety and efficacy.The imSAVAR is an Innovative Medicines Initiative funded project that aims to develop a standard for integrated nonclinical safety overviews for immune-modulatory investigational new drugs (IND) and clinical trial applications (CTA).Our imSAVAR platform will improve the prediction of the transferability of safety and efficacy of immunomodulators ...
Programme: European Union’s Horizon 2020
Public web page: https://imsavar.eu/
Organisms: Not specified
Analysis of the humoral response against HLA alloantigens is performed using museal methods. With the use of AI we aim to predict deleterious antibody production avoiding allograft deterioration and graft loss.
Programme: This Project is not associated with a Programme
Public web page: Not specified
Start date: 1st Mar 2021
Organisms: Not specified
Abstract (Expand)
Authors: H. Loeffler-Wirth, M. Rade, A. Arakelyan, M. Kreuz, M. Loeffler, U. Koehl, K. Reiche, H. Binder
Date Published: 17th Oct 2022
Publication Type: Journal article
PubMed ID: 36248848
Citation: Front Immunol. 2022 Sep 28;13:994885. doi: 10.3389/fimmu.2022.994885. eCollection 2022.
Abstract (Expand)
Authors: T. Kirsten, F. A. Meineke, H. Loeffler-Wirth, C. Beger, A. Uciteli, S. Staubert, M. Lobe, R. Hansel, F. G. Rauscher, J. Schuster, T. Peschel, H. Herre, J. Wagner, S. Zachariae, C. Engel, M. Scholz, E. Rahm, H. Binder, M. Loeffler
Date Published: 3rd Aug 2022
Publication Type: Journal article
PubMed ID: 35915977
Citation: Methods Inf Med. 2022 Dec;61(S 02):e103-e115. doi: 10.1055/a-1914-1985. Epub 2022 Aug 1.
Abstract (Expand)
Authors: S. Hakobyan, H. Loeffler-Wirth, A. Arakelyan, H. Binder, M. Kunz
Date Published: 2nd Jul 2021
Publication Type: Journal article
PubMed ID: 34281234
Citation: Int J Mol Sci. 2021 Jul 2;22(13). pii: ijms22137165. doi: 10.3390/ijms22137165.
Abstract (Expand)
Authors: M. Schmidt, L. Hopp, A. Arakelyan, H. Kirsten, C. Engel, K. Wirkner, K. Krohn, R. Burkhardt, J. Thiery, M. Loeffler, H. Loeffler-Wirth, H. Binder
Date Published: 11th Mar 2021
Publication Type: Journal article
PubMed ID: 33693414
Citation: Front Big Data. 2020 Oct 30;3:548873. doi: 10.3389/fdata.2020.548873. eCollection 2020.
Abstract (Expand)
Authors: J. Wolf, E. Willscher, H. Loeffler-Wirth, M. Schmidt, G. Flemming, M. Zurek, H. H. Uhlig, N. Handel, H. Binder
Date Published: 4th Mar 2021
Publication Type: Journal article
PubMed ID: 33806322
Citation: Int J Mol Sci. 2021 Mar 4;22(5). pii: ijms22052551. doi: 10.3390/ijms22052551.
Abstract (Expand)
Authors: Henry Loeffler-Wirth, Jasmin Reikowski, Siras Hakobyan, Jonas Wagner, Hans Binder
Date Published: 1st Dec 2020
Publication Type: Journal article
DOI: 10.1186/s12859-020-03806-w
Citation: BMC Bioinformatics 21(1),465
Abstract (Expand)
Authors: H. Loeffler-Wirth, M. Schmidt, H. Binder
PubMed ID: 32698418
Citation: Viruses. 2020 Jul 20;12(7). pii: v12070777. doi: 10.3390/v12070777.
Abstract (Expand)
Authors: M. Nikoghosyan, M. Schmidt, K. Margaryan, H. Loeffler-Wirth, A. Arakelyan, H. Binder
Date Published: 17th Jul 2020
Publication Type: Journal article
PubMed ID: 32709105
Citation: Genes (Basel). 2020 Jul 17;11(7). pii: genes11070817. doi: 10.3390/genes11070817.
Abstract (Expand)
Authors: A. Frenzel, H. Binder, N. Walter, K. Wirkner, M. Loeffler, H. Loeffler-Wirth
Date Published: 29th Mar 2020
Publication Type: Not specified
PubMed ID: 32218988
Citation: NPJ Aging Mech Dis. 2020 Mar 24;6:5. doi: 10.1038/s41514-020-0043-9. eCollection 2020.
Abstract (Expand)
Authors: A. Arakelyan, L. Nersisyan, M. Nikoghosyan, S. Hakobyan, A. Simonyan, L. Hopp, H. Loeffler-Wirth, H. Binder
Date Published: 12th Dec 2019
Publication Type: Journal article
PubMed ID: 31842375
Citation: Pharmaceutics. 2019 Dec 12;11(12). pii: pharmaceutics11120677. doi: 10.3390/pharmaceutics11120677.
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The lipid-secreting sebaceous glands (SG) are indispensable for maintaining skin structure and function, and may influence whole body’s energy metabolism. SG deregulation is also associated with a number of skin disorders, including but not limited to acne. Here, we exploit the high cellular resolution provided by sebaceous hyperplasia to spatially characterize the human SG transcriptional program. By integrating single-cell spatial transcriptomics, pseudotime analysis, RNA velocity, and functional ...
Creators: Maria Schmidt, Henry Löffler-Wirth, Hans Binder, Marlon Schneider
Submitter: Henry Löffler-Wirth
Data file type: Transcriptomic Data
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
This workspace contains all data generated by the combiSOM analysis of patient-matched gene expression, DNA-methylation and copy number variation (CNV) of 121 lower grade glioma (LGG) specimen.
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors.
Creators: Henry Löffler-Wirth, Markus Kreuz
Submitter: Christoph Beger
Data file type: Genomic Data
Human Diseases: brain glioma
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 873 biopsy specimens including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt’s lymphoma (BL), mixed FL/DLBCL lymphomas, primary mediastinal large B-cell lymphoma (PMBL), multiple myeloma (MM), IRF4-rearranged large cell lymphoma, MYC-negative high-grade B-cell lymphomas with Chr. 11q aberration pattern (mnBLL-11q), and Mantle cell lymphoma (MCL).
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.
Creators: Hans Binder, Markus Kreuz, Henry Löffler-Wirth
Submitter: Christoph Beger
Data file type: Methylation Data
Human Diseases: brain glioma
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Three-dimensional (3D) whole body scanner data of nearly 10,000 participants of a cohort collected from the adult population of Leipzig.
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization. These functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular ...
Creator: Henry Löffler-Wirth
Submitter: René Hänsel
Model type: Self-Organizing Map
Model format: R package
Environment: Shiny
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The LHA Body typer is an interactive app that enables interested users to determine their body type by manual measuring of few body lengths and girths. Additionally, data derived from body scanner devices can be uploaded for automatic body type annotation with regard to the body shapes identified in the Leipzig population.
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The PanCancer Browser is a web application for the interactive comparison of molecular landscapes of different cancers provided by the oposSOM analysis pipeline. It complements the single data set-centered browsing tool oposSOM-Browser.
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Self-Organizing Map
Model format: R package
Environment: Shiny
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The Covid‐19 viewer provides an intuitive tool to monitor the development of the pandemic in 188 countries using simple plots. The tool is interactive and enables the user to select different plots for single countries, groups or all of them. It visualizes descriptive features such as slopes or flattening behaviour of epidemic numbers and of their increments to allow a qualitative justification of the current state of the pandemic, e.g. whether it is growing exponentially, stopped due to counter ...
Creators: Hans Binder, Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Severe acute respiratory syndrome coronavirus 2
Human Disease: COVID-19
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Analysis of large-scale molecular biological data using self-organizing maps
Comprehensive analysis of genome-wide molecular data challenges bioinformatics methodology in terms of intuitive visualization with single-sample resolution, biomarker selection, functional information mining and highly granular stratification of sample classes. oposSOM combines those functionalities making use of a comprehensive analysis and visualization strategy based on self-organizing maps (SOM) machine learning ...
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Contribute to hloefflerwirth/scrat development by creating an account on GitHub.
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Not specified
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Background: Covid-19 pandemic is developing worldwide with common dynamics but also with partly marked differences between regions and countries. They are not completely understood, but presumably, provide one clue to find ways to mitigate epidemics until exit strategies to its eradication become available. Method: We provide a monitoring tool available at www.izbi.de. It enables inspection of the dynamic state of the epidemic in 187 countries using trajectories. They visualize transmission and ...
Creators: Hans Binder, Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
This markdown document demonstrates how to generate key data portrayal analyses and visualizations from a workspace created by the combiSOM package. The triple-omics SOM portrayal approach presented here combines patient-matched gene expression, DNA-methylation and copy number variation (CNV) of 121 lower grade glioma (LGG) specimen.
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Projects: HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, GLA - German Lymphoma Alliance
Web page: Not specified
Projects: LIFE Heart, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, SepNet - German Competence Network Sepsis, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, LIFE Child, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, LIFE Adult
Web page: https://www.uniklinikum-leipzig.de/einrichtungen/life
Within the framework of the funding measure "i:DSem - Integrative Data Semantics in Systems Medicine", the Federal Ministry of Education and Research supports research projects that take up this approach. Interdisciplinary research projects are to create the basis so that in the future, for example, the attending physician will have application-oriented computer programmes at his or her disposal that will enable him or her to access all clinically relevant data. This should significantly support ...
Projects: LHA - Leipzig Health Atlas
In the German National Research Data Infrastructure (NFDI), valuable data from science and research are systematically accessed, networked and made usable in a sustainable and qualitative manner for the entire German science system. Up to now, they have mostly been available on a decentralised, project-related or temporary basis. The NFDI aims to create a permanent digital repository of knowledge as an indispensable prerequisite for new research questions, findings and innovations. Relevant data ...
Projects: NFDI4Health, Task Force COVID-19 Leipzig, NFDI4Health - TA3 Services, Clinical Trials Leipzig
Web page: https://www.nfdi.de/?lang=en
Projects: Vine Bioinformatics - grape genomics for Innovative viticulture, imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies
Web page: Not specified
This is the Programme users can request to have a Project created and associated with, without the need to create and manage their own.
Projects: SCALE-TORT, oBIG - omics Bioinformatics for Health, e:Med
Web page: Not specified