A5102879929- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Genetic and Kidney Cyst Diseases
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Scientific Computing and Data Management
- Advanced Database Systems and Queries
- Metastasis and carcinoma case studies
- Inflammatory Bowel Disease
- Microbial Metabolic Engineering and Bioproduction
- Gastric Cancer Management and Outcomes
- Liver Disease and Transplantation
- Intraperitoneal and Appendiceal Malignancies
- Distributed and Parallel Computing Systems
- Animal Disease Management and Epidemiology
- Appendicitis Diagnosis and Management
- Identification and Quantification in Food
- Health and Medical Studies
- Cancer Diagnosis and Treatment
- Zoonotic diseases and public health
- Organ Transplantation Techniques and Outcomes
- Diagnosis and treatment of tuberculosis
- Salmonella and Campylobacter epidemiology
Universität Hamburg
2022-2024
University of Kassel
2022-2023
Technical University of Munich
2021
Hochgebirgsklinik Davos
2016
Leipzig University
2007-2015
Max Planck Institute for Evolutionary Anthropology
2012
Federal Institute for Risk Assessment
2006-2009
Universitätsklinikum Tübingen
2008
Federal Institute for Health Protection of Consumers and Veterinary Medicine
1998-2000
Freie Universität Berlin
1973
Links build the backbone of Linked Data Cloud. With steady growth in size datasets comes an increased need for end users to know which frameworks use deriving links between datasets. In this survey, we comparatively evaluate current Link Discovery tools and frameworks. For pu rpose, outline general requirements derive a generic architecture Based on architecture, study compare features state-of-the-art linking We also analyze reported performance evaluations different Finally, insights...
Abstract In recent decades, the development of new drugs has become increasingly expensive and inefficient, molecular mechanisms most pharmaceuticals remain poorly understood. response, computational systems network medicine tools have emerged to identify potential drug repurposing candidates. However, these often require complex installation lack intuitive visual mining capabilities. To tackle challenges, we introduce Drugst.One, a platform that assists specialized in becoming...
Ontologies are increasingly used to structure and semantically describe entities of domains, such as genes proteins in life sciences. Their increasing size the high frequency updates resulting a large set ontology versions necessitates efficient management analysis this data.We present GOMMA, generic infrastructure for managing analyzing science ontologies their evolution. GOMMA utilizes repository uniformly efficiently manage different kinds mappings. Furthermore, it provides components...
Abstract Most heritable diseases are polygenic. To comprehend the underlying genetic architecture, it is crucial to discover clinically relevant epistatic interactions (EIs) between genomic single nucleotide polymorphisms (SNPs) (1–3). Existing statistical computational methods for EI detection mostly limited pairs of SNPs due combinatorial explosion higher-order EIs. With NeEDL (network-based epistasis via local search), we leverage network medicine inform selection EIs that an order...
Abstract Cancer is a heterogeneous disease characterized by unregulated cell growth and promoted mutations in cancer driver genes some of which encode suitable drug targets. Since the distinct set can vary between within types, evidence-based selection drugs crucial for targeted therapy following precision medicine paradigm. However, many putative not be directly, suggesting an indirect approach that considers alternative functionally related targets gene interaction network. Once potential...
Abstract Motivation: Ontologies are used in the annotation and analysis of biological data. As knowledge accumulates, ontologies undergo constant modifications to reflect this new knowledge. These may influence results statistical applications such as functional enrichment analyses that describe experimental data terms ontological groupings. Here, we investigate what degree Gene Ontology (GO) impact these for both simulated The is based on measures stability result sets considers different...
Numerous ontologies have recently been developed in life sciences to support a consistent annotation of biological objects, such as genes or proteins. These underlie continuous changes which can impact existing annotations. Therefore, it is valuable for users study the stability and see how many what kind ontology occurred. We present OnEX (Ontology Evolution EXplorer) system exploring changes. Currently, provides access about 560 versions 16 well-known science ontologies. The based on...
Abstract Motivation The reconstruction of small key regulatory networks that explain the differences in development cell (sub)types from single-cell RNA sequencing is a yet unresolved computational problem. Results To this end, we have developed SCANet, an all-in-one package for profiling covers whole differential mechanotyping workflow, inference trait/cell-type-specific gene co-expression modules, driver detection, and transcriptional network to mechanistic drug repurposing candidate...
Abstract microRNAs (miRNAs) are post-transcriptional regulators involved in many biological processes and human diseases, including cancer. The majority of transcripts compete over a limited pool miRNAs, giving rise to complex network competing endogenous RNA (ceRNA) interactions. Currently, gene-regulatory networks focus mostly on transcription factor-mediated regulation, dedicated efforts for charting ceRNA regulatory scarce. Recently, it became possible infer interactions genome-wide from...
Vacuum extraction dates back to the 18th Century [1], MALMSTRÖM first introduced a fully practicable vacuum extractor äs an operative method of delivery about 20 years ago [2], has since found increasing application and is considered in many countries be useful forceps.Numerous articles have been published concerning technique clinical extraction.To date, however, there no direct research, far wc know, extent effective tractive forces length during extraction.Because this lack criteria based...
Abstract Summary: Life science ontologies substantially change over time to meet the requirements of their users and include newest domain knowledge. Thus, an important task is know what has been modified between two versions ontology (diff). This diff should contain all performed changes as compact understandable possible. We present CODEX (Complex Ontology Diff Explorer), a tool that allows determining semantic ontology, which can interactively analyze in multiple ways. Availability...
Objective To address the problem of mapping local laboratory terminologies to Logical Observation Identifiers Names and Codes (LOINC). study different ontology matching algorithms investigate how probability term combinations in LOINC helps increase match quality reduce manual effort. Materials methods We proposed two strategies: full name multi-part. The multi-part approach also considers occurrence combined concept parts. It can further recommend possible parts allow more terms be mapped....
Most complex diseases, including cancer and non-malignant diseases like asthma, have distinct molecular subtypes that require clinical approaches. However, existing computational patient stratification methods been benchmarked almost exclusively on omics data only perform well when mutually exclusive can be characterized by many biomarkers. Here, we contribute with a massive evaluation attempt, quantitatively exploring the power of 22 unsupervised using both, simulated real transcriptome...