Stanislav Sys

About me

Stanislav Sys
PhD Candidate
Computational Systems Genetics Group joint with Emmy Noether Group TWIST
stsys@uni-mainz.de
Anselm-Franz-von-Bentzel-Weg 3
D 55128 Mainz

Current project

Next-Generation Sequencing has become a routine approach in bioinformatics and is widely used among medical facilities around the globe. The increasing abundance of NGS data offers huge opportunities for science and personalized medicine. Nevertheless, it remains a computationally challenging task which can't be solved using classical computers. Such analysis and generation of NGS Data have to be performed using high performance computing or multiple GPUs.
I am especially interested in the scalability of Whole Genome Sequencing and Variant Calling Pipelines using GPUs and different machine learning approaches. In addition, I focus on whether associations between different types of mutations in the genome could influence the 3D folding structure of Chromatin.

I am also working on the methodological analysis of systematic bias in next-generation-sequencing platforms and different machine learning approaches for object detection and image classification of invertebrates in cooperation with Stephan Weißbach, Charlotte Hewel and Hristo Todorov.

I am also implementing machine learning algorithms for object detection and analysis of high dimensional neuro-imaging data.

Publications

Susanne Gerber*, Lucas Pospisil, Stanislav Sys, Charlotte Hewel, Ali Torkamani and Illia Horenko*: Co-inference of data mislabeling reveals improved models in genomics and breast cancer diagnostics, accepted for publication in Frontiers in Artificial Intelligence, (2021)

Stephan Weißbach, Stanislav Sys, Charlotte Hewel, Hristo Todorov, Susann Schweiger, Jennifer Winter, Markus Pfenninger, Ali Torkamani, Doug Evans, Joachim Burger Karin Everschor-Sitte, Helen May-Simera and Susanne Gerber. Reliability of genomic variants across different next-generation sequencing platforms and bioinformatic processing pipelines.  BMC Genomics 22, 62 (2021). https://doi.org/10.1186/s12864-020-07362-8

SYS, Stanislav J. et al. Dynamics of Associations Between Single Nucleotide Polymorphisms in Relation to Alzheimer's Disease Captured with a New Measure of Linkage Disequilibrium. Genomics and Computational Biology, [S.l.], v. 4, n. 2, p. e100045, mar. 2018. ISSN 2365-7154.