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of 8
pro vyhledávání: '"Tom Altenburg"'
Mass spectrometry-based proteomics provides a holistic snapshot of the entire protein set of living cells on a molecular level. Currently, only a few deep learning approaches exist that involve peptide fragmentation spectra, which represent partial s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba8aa1eb9a127c091109aae8e4970100
https://doi.org/10.1038/s42256-022-00467-7
https://doi.org/10.1038/s42256-022-00467-7
Mass spectrometry-based proteomics allows to study all proteins of a sample on a molecular level. The ever increasing complexity and amount of proteomics MS-data requires powerful and yet efficient computational and statistical analysis. In particula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::487266925ffbac0ebc952497332935ea
https://doi.org/10.1101/2021.12.01.470818
https://doi.org/10.1101/2021.12.01.470818
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5ba80c0629b455b50c3f78555b1c391
https://pubmed.ncbi.nlm.nih.gov/35799354
https://pubmed.ncbi.nlm.nih.gov/35799354
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
Mass spectrometry-based proteomics provides a holistic snapshot of the entire protein set of a living cell on a molecular level. Currently, only a few deep learning approaches that involve peptide fragmentation spectra, which represent partial sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75689deea446c33ce85bd30573adec8
https://doi.org/10.1101/2020.05.19.101345
https://doi.org/10.1101/2020.05.19.101345
Autor:
Gaye Saginc, Mathias Engel, Edda Klipp, Xavier Robin, Rune Linding, Simon Koplev, Conor Howard, Jesper Ferkinghoff-Borg, Craig D. Simpson, James Longden, Franziska Voellmy, Tom Altenburg
We describe a novel Bayesian method for estimating protein concentration and phosphorylation site occupancy ratios from mass spectrometry experiments. Our variance model assigns standard deviations to all quantitative ratios, even when only a single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7293ae58fc6f60c2bf3e57da17b9d88c
Publikováno v:
npj Systems Biology and Applications, Vol 5, Iss 1, Pp 1-13 (2019)
Cell growth is well described at the population level, but precisely how nutrient and water uptake and cell wall expansion drive the growth of single cells is poorly understood. Supported by measurements of single-cell growth trajectories and cell wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::894af36e12a90d9652aa69b4d7dd6475
Publikováno v:
NPJ Systems Biology and Applications
Cell growth is well described at the population level, but precisely how nutrient and water uptake and cell wall expansion drive the growth of single cells is poorly understood. Supported by measurements of single-cell growth trajectories and cell wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bd0d6ca1e36a4b484fcd7a73bbd2f06f
https://pubmed.ncbi.nlm.nih.gov/31583116
https://pubmed.ncbi.nlm.nih.gov/31583116