Genomic sequencing has become an important tool in identification and surveillance of human pathogens. Compared to large organisms, where our goal is to obtain high-quality sequences for detailed analysis, in pathogen sequencing the emphasis is often on optimization of cost and time. Consequently, sequencing of pathogens creates interesting computational challenges and development of new methods has a potential to significantly enhance applicability of the results in epidemiology and clinical practice. In my talk, I will give two examples: plasmid identification in bacterial isolates and genomic surveillance of wastewater for SARS-CoV-2. In both cases, application of better algorithms and modeling helps to improve the quality of analysis of very noisy data.
@InProceedings{vinar:LIPIcs.WABI.2024.1, author = {Vina\v{r}, Tom\'{a}\v{s}}, title = {{Bioinformatics of Pathogens}}, booktitle = {24th International Workshop on Algorithms in Bioinformatics (WABI 2024)}, pages = {1:1--1:2}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-340-9}, ISSN = {1868-8969}, year = {2024}, volume = {312}, editor = {Pissis, Solon P. and Sung, Wing-Kin}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2024.1}, URN = {urn:nbn:de:0030-drops-206455}, doi = {10.4230/LIPIcs.WABI.2024.1}, annote = {Keywords: sequence analysis, genome assembly, neural networks, probabilistic modeling} }
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