Biomedical subjects

Dominik Seelow

Publications and source records attributed to Dominik Seelow.

4 recordsLinked to original sources

PubMed2026

DNAvi: integration, statistics, and visualization of cell-free DNA fragment traces.

SUMMARY: DNAvi is a Python-based tool for rapid grouped analysis and visualization of cell-free DNA fragment size profiles directly from electrophoresis data, overcoming the need for sequencing in basic fragmentomic screenings. It enables normalization, statistical comparison, and publication-ready plotting of multiple samples, supporting quality control and exploratory fragmentomics in clinical and research workflows. AVAILABILITY AND IMPLEMENTATION: DNAvi is implemented in Python and freely available on GitHub at https://github.com/anjahess/DNAvi under a GNU General Public License v3.0, along with source code, documentation, and examples. An archived version is available under https://doi.org/10.5281/zenodo.18401705.

Software↗

PubMed2004

d-matrix - database exploration, visualization and analysis.

BACKGROUND: Motivated by a biomedical database set up by our group, we aimed to develop a generic database front-end with embedded knowledge discovery and analysis features. A major focus was the human-oriented representation of the data and the enabling of a closed circle of data query, exploration, visualization and analysis. RESULTS: We introduce a non-task-specific database front-end with a new visualization strategy and built-in analysis features, so called d-matrix. d-matrix is web-based and compatible with a broad range of database management systems. The graphical outcome consists of boxes whose colors show the quality of the underlying information and, as the name suggests, they are arranged in matrices. The granularity of the data display allows consequent drill-down. Furthermore, d-matrix offers context-sensitive categorization, hierarchical sorting and statistical analysis. CONCLUSIONS: d-matrix enables data mining, with a high level of interactivity between humans and computer as a primary factor. We believe that the presented strategy can be very effective in general and especially useful for the integration of distinct data types such as phenotypical and molecular data.

Cardiovascular Diseases↗

PubMed2003

Genome-wide array analysis of normal and malformed human hearts.

BACKGROUND: We present the first genome-wide cDNA array analysis of human congenitally malformed hearts and attempted to partially elucidate these complex phenotypes. Most congenital heart defects, which account for the largest number of birth defects in humans, represent complex genetic disorders. As a consequence of the malformation, abnormal hemodynamic features occur and cause an adaptation process of the heart. METHODS AND RESULTS: The statistical analysis of our data suggests distinct gene expression profiles associated with tetralogy of Fallot, ventricular septal defect, and right ventricular hypertrophy. Applying correspondence analysis, we could associate specific gene functions to specific phenotypes. Furthermore, our study design allows the suggestion that alterations associated with primary genetic abnormalities can be distinguished from those associated with the adaptive response of the heart to the malformation (right ventricular pressure overload hypertrophy). We provide evidence for the molecular transition of the hypertrophic right ventricle to normal left ventricular characteristics. Furthermore, we present data on chamber-specific gene expression. CONCLUSIONS: Our findings propose that array analysis of malformed human hearts opens a new window to understand the complex genetic network of cardiac development and adaptation. For detailed access, see the online-only Data Supplement.

Adaptation, Physiological↗

PubMed2002

Periodic catatonia: confirmation of linkage to chromosome 15 and further evidence for genetic heterogeneity.

We earlier reported significant evidence for linkage on chromosome 15q15 in periodic catatonia, a sub-phenotype of schizophrenic psychoses. The disorder is characterized by qualitative hyperkinetic and akinetic psychomotor disturbances through acute psychotic episodes and debilitating symptoms in the long term, with psychomotor weakness, grimacing facial movements and apathy. Here, we confirm mapping of a major gene locus on chromosome 15q15 in a second genome scan in a new set of four multiplex families. Non-parametric multipoint linkage analyses identified a broad region with a maximum peak of Z(all) =3.91 ( P=0.006) and Z(lr) =3.04 at D15S1234 ( P=0.001), satisfying conventional criteria for confirmed linkage. Parametric affected-only analyses under an autosomal dominant model gave a maximum HLOD score of 1.65 (D15S1234) with an estimated 47% of families being linked. Analysis of individual families showed that one large family showed linkage, whereas two others could be clearly excluded, confirming genetic heterogeneity. No other locus reached suggestive levels of significance. Haplotype analysis on chromosome 15 in this and previously linked families placed the susceptibility region to a 11-cM interval between marker D15S1042 and D15S659. Periodic catatonia is the first sub-phenotype of schizophrenic psychoses with confirmed linkage despite the existence of considerable genetic heterogeneity.

Catatonia↗