Buckenhof, Bavaria, Germany
Hello! I'm Daniel Schreyer, a passionate bioinformatician specialising in next-generation sequencing (NGS) data analysis and workflow development. With a deep fascination for the world of extrachromosomal circular DNAs (ecDNAs), I'm on a quest to unravel the mysteries hidden within our DNA, particularly in the context of pancreatic cancer. Through extensive data analysis and exploration, I aim to contribute to our understanding of this disease and shed light on the role of ecDNAs in cancer progression. One of my notable achievements is the development and active maintenance of nf-core/circdna, an open-source nextflow bioinformatics pipeline, which offers researchers a reliable and efficient solution for studying ecDNAs.
Bioinformatics | Computational Biology | Biostatistics | Workflow Development PhD Candidate in Computational/Systems Biology and Cancer Sciences. Investigating the role of extrachromosomal circular DNA (ecDNA) in pancreatic cancer (PC). Marie Curie Sklodowska Fellow, Program funded by Horizon 2020 of the European Union
Knowledge Transfer | Computational Biology | Data Analysis
Data Integration | Bioinformatics | Workflow Development (Nextflow) The secondment started an on-going collaboration investigating cancer cell behaviour under stress conditions. The manuscript is currently in preparation.
Alongside my Master's thesis, I participated in the iGEM competition in which I worked with an interdisciplinary team, consisting of around 30 students, on an immunology and synthetic biology project. Throughout the whole project, clear communication and problem-solving skills were necessary to set and accomplish team goals. My tasks included: project management, experimental design, laboratory work, human practices, and problem-solving.