Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jakub M Bartoszewicz"'
Publikováno v:
Bioinformatics. 38:ii168-ii174
Background Emerging pathogens are a growing threat, but large data collections and approaches for predicting the risk associated with novel agents are limited to bacteria and viruses. Pathogenic fungi, which also pose a constant threat to public heal
Text generation models originally developed for natural language processing have proven to be successful in generating protein sequences. These models are often finetuned for improved performance on more specific tasks, such as generation of proteins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346e0791e919fc5cbe4f8fbf1b23875a
https://doi.org/10.1101/2023.02.28.530492
https://doi.org/10.1101/2023.02.28.530492
Publikováno v:
Briefings in bioinformatics. 22(6)
Novel pathogens evolve quickly and may emerge rapidly, causing dangerous outbreaks or even global pandemics. Next-generation sequencing is the state of the art in open-view pathogen detection, and one of the few methods available at the earliest stag
Autor:
Alice Wittig, Fábio Miranda, Martin Hölzer, Tom Altenburg, Jakub M Bartoszewicz, Sebastian Beyvers, Marius A Dieckmann, Ulrich Genske, Sven H Giese, Melania Nowicka, Hugues Richard, Henning Schiebenhoefer, Anna-Juliane Schmachtenberg, Paul Sieben, Ming Tang, Julius Tembrockhaus, Bernhard Y Renard, Stephan Fuchs
Publikováno v:
Bioinformatics (Oxford, England). 38(17)
Summary The ongoing pandemic caused by SARS-CoV-2 emphasizes the importance of genomic surveillance to understand the evolution of the virus, to monitor the viral population, and plan epidemiological responses. Detailed analysis, easy visualization a
Autor:
Alice Wittig, Fábio Miranda, Martin Hölzer, Tom Altenburg, Jakub M. Bartoszewicz, Sebastian Beyvers, Marius A. Dieckmann, Ulrich Genske, Sven H. Giese, Melania Nowicka, Hugues Richard, Henning Schiebenhoefer, Anna-Juliane Schmachtenberg, Paul Sieben, Ming Tang, Julius Tembrockhaus, Bernhard Y. Renard, Stephan Fuchs
The SARS-CoV-2 pandemic underlined the importance of molecular surveillance to track the evolution of the virus and inform public health interventions. Fast analysis, easy visualization and convenient filtering of the latest virus sequences are essen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65f01f540d0bf33085eecc11ca03a86c
https://doi.org/10.1101/2021.02.03.429146
https://doi.org/10.1101/2021.02.03.429146
Novel pathogens evolve quickly and may emerge rapidly, causing dangerous outbreaks or even global pandemics. Next-generation sequencing is the state-of-the-art in open-view pathogen detection, and one of the few methods available at the earliest stag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3bef99ad821ab0f924715708bc46a7e
https://doi.org/10.1101/2021.01.26.428301
https://doi.org/10.1101/2021.01.26.428301
Publikováno v:
Bioinformatics (Oxford, England). 36(1)
Motivation We expect novel pathogens to arise due to their fast-paced evolution, and new species to be discovered thanks to advances in DNA sequencing and metagenomics. Moreover, recent developments in synthetic biology raise concerns that some strai
Motivation:We expect novel pathogens to arise due to their fast-paced evolution, and new species to be discovered thanks to advances in DNA sequencing and metagenomics. What is more, recent developments in synthetic biology raise concerns that some s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::532687442f0f39625c1e7e812d8989a1