A5063127410- Bioinformatics and Genomic Networks
- Cancer Genomics and Diagnostics
- Biomedical Text Mining and Ontologies
- Diabetes Management and Research
- Genomics and Phylogenetic Studies
- Advanced Proteomics Techniques and Applications
- Genomics and Rare Diseases
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Diabetes Treatment and Management
- Chronic Disease Management Strategies
Universitätsmedizin Göttingen
2022-2024
University of Göttingen
2023
ABSTRACT Background Persons with chronic kidney disease (CKD) are at increased risk of adverse events, early mortality and multimorbidity. A detailed overview event types rates from a large CKD cohort under regular nephrological care is missing. We generated an interactive tool to enable exploration events their combinations in the prospective, observational German (GCKD) study. Methods The GCKD study enrolled 5217 participants estimated glomerular filtration rate 30–60 or >60...
Dealing with sequence coordinates in different formats and reference genomes is challenging genetic research. This complexity arises from the need to convert harmonize datasets of sources using alternating nomenclatures. Since manual processing time-consuming requires specialized knowledge, Sequence Conversion Analysis Toolbox (SeqCAT) was developed for daily work datasets. Our tool provides a range functions designed standardize gene variant based on various types. Its user-friendly web...
Next-generation sequencing methods continuously provide clinicians and researchers in precision oncology with growing numbers of genomic variants found cancer. However, manually interpreting the list to identify reliable targets is an inefficient cumbersome process that does not scale increasing number cases. Support by computer systems needed for analysis large experiments clinical studies new therapies, user-friendly applications are molecular tumor boards support their decision-making...
ABSTRACT Mass spectrometry (MS)-based high-throughput proteomics data cover abundances of 1,000s proteins and facilitate the study co- post-translational modifications (CTMs/PTMs) such as acetylation, ubiquitination, phosphorylation. Yet, it remains an open question how to holistically explore their relationship complementary omics layers or phenotypical information. Network inference methods aim for a holistic analysis reveal relationships between molecular variables resolve underlying...
Abstract One of the major challenges in precision medicine is identification pathogenic, actionable variants and selection personalized treatments. We present Onkopus, a variant interpretation framework, based on modular architecture, for interpreting prioritizing genetic alterations cancer patients. show that aggregation harmonization clinical databases, coupled with querying these databases to varying associated biomarkers, can increase number identified therapeutic options. protein...