A5019007180- Bioinformatics and Genomic Networks
- Cancer Genomics and Diagnostics
- Ubiquitin and proteasome pathways
- Genomics and Phylogenetic Studies
- AI in cancer detection
- Biomedical and Engineering Education
- RNA and protein synthesis mechanisms
- 14-3-3 protein interactions
- Gene expression and cancer classification
- COVID-19 diagnosis using AI
- Lymphoma Diagnosis and Treatment
- T-cell and Retrovirus Studies
- Cancer-related gene regulation
- Machine Learning in Bioinformatics
- Biomedical Text Mining and Ontologies
- Genomics and Rare Diseases
- Computational Drug Discovery Methods
Charité - Universitätsmedizin Berlin
2024
University Medical Center
2024
University Hospital Cologne
2024
University of Helsinki
2024
University Hospital Leipzig
2024
Universitätsmedizin Göttingen
2021-2024
University of Göttingen
2024
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...
Introduction: Precision oncology and biomedical cancer research increasingly rely on tools to select optimal drugs targeting specific genetic alterations in cancer. A major challenge for bioinformatic supporting drug selection is standardize different annotations (substance, name, class) a common level, typically the class. While manual classification time-consuming potentially biased, existing resources often lack completeness, granularity, or mix up classes targets. structured,...
<title>Abstract</title> Mature T-cell lymphomas and leukemias (mTCL) comprise a clinically genetically heterogeneous group of lymphoid malignancies. Most subtypes peripheral leukemic malignancies show an aggressive clinical course poor prognosis. Thus, these diseases urgently require novel therapeutic strategies. Taking advantage recent progress deciphering the genetic basis mTCL, we generated comprehensive database alterations from >1 800 patients with mTCL utilized bioinformatic...
Introduction: Copy number variations (CNVs) are structural genomic alterations that involve changes in the of copies specific DNA regions. These can include deletions, duplications, and more complex rearrangements, play a critical role cancer progression by amplifying oncogenes, deleting tumor suppressor genes, or altering other key Despite importance CNVs biology, there is lack comprehensive resources aggregate CNV data across multiple types, impeding exploration their different...
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...