M
Markus Göker
Researcher at Leibniz Association
Publications - 367
Citations - 23045
Markus Göker is an academic researcher from Leibniz Association. The author has contributed to research in topics: Genome & Whole genome sequencing. The author has an hindex of 53, co-authored 337 publications receiving 17461 citations. Previous affiliations of Markus Göker include Deutsche Sammlung von Mikroorganismen und Zellkulturen & University of Erlangen-Nuremberg.
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Genome sequence-based species delimitation with confidence intervals and improved distance functions
TL;DR: Despite the high accuracy of GBDP-based DDH prediction, inferences from limited empirical data are always associated with a certain degree of uncertainty, so it is crucial to enrich in-silico DDH replacements with confidence-interval estimation, enabling the user to statistically evaluate the outcomes.
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Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison
TL;DR: This work investigates state-of-the-art methods for inferring whole-genome distances in their ability to mimic DDH and finds that some distance formulas are very robust against missing fractions of genomic information.
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TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy
TL;DR: TYGS, the Type (Strain) Genome Server, a user-friendly high-throughput web server for genome-based prokaryote taxonomy and analysis connected to a large, continuously growing database of genomic, taxonomic and nomenclatural information.
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List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ
TL;DR: The LPSN was acquired in November 2019 by the DSMZ and was relaunched using an entirely new production system in February 2020, with new features described in detail.
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Critical Assessment of Metagenome Interpretation - A benchmark of metagenomics software
Alexander Sczyrba,Peter Hofmann,Peter Hofmann,Peter Belmann,David Koslicki,Stefan Janssen,Johannes Dröge,Johannes Dröge,Ivan Gregor,Ivan Gregor,Stephan Majda,Jessika Fiedler,Eik Dahms,Eik Dahms,Andreas Bremges,Adrian Fritz,Ruben Garrido-Oter,Tue Sparholt Jørgensen,Tue Sparholt Jørgensen,Tue Sparholt Jørgensen,Nicole Shapiro,Philip D. Blood,Alexey Gurevich,Yang Bai,Dmitrij Turaev,Matthew Z. DeMaere,Rayan Chikhi,Niranjan Nagarajan,Christopher Quince,Fernando Meyer,Monika Balvočiūtė,Lars Hestbjerg Hansen,Søren J. Sørensen,Burton Kuan Hui Chia,Bertrand Denis,Jeff Froula,Zhong Wang,Robert Egan,Dongwan Don Kang,Jeffrey J. Cook,Charles Deltel,Michael Beckstette,Claire Lemaitre,Pierre Peterlongo,Guillaume Rizk,Dominique Lavenier,Yu Wei Wu,Yu Wei Wu,Steven W. Singer,Steven W. Singer,Chirag Jain,Marc Strous,Heiner Klingenberg,Peter Meinicke,Michael D. Barton,Thomas Lingner,Hsin-Hung Lin,Yu-Chieh Liao,Genivaldo G. Z. Silva,Daniel A. Cuevas,Robert Edwards,Surya Saha,Vitor C. Piro,Vitor C. Piro,Bernhard Y. Renard,Mihai Pop,Hans-Peter Klenk,Markus Göker,Nikos C. Kyrpides,Tanja Woyke,Julia A. Vorholt,Paul Schulze-Lefert,Edward M. Rubin,Aaron E. Darling,Thomas Rattei,Alice C. McHardy +75 more
TL;DR: The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups as discussed by the authors.