J
Jörg Vogel
Researcher at University of Würzburg
Publications - 244
Citations - 31250
Jörg Vogel is an academic researcher from University of Würzburg. The author has contributed to research in topics: RNA & Gene. The author has an hindex of 89, co-authored 216 publications receiving 26988 citations. Previous affiliations of Jörg Vogel include Humboldt State University & Uppsala University.
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Journal ArticleDOI
Gut Microbiota Contribution to Weight-Independent Glycemic Improvements after Gastric Bypass Surgery
Mohammed K. Hankir,Petia Kovatcheva-Datchary,Rebecca Springer,Anne Hoffmann,Jörg Vogel,Florian Seyfried,Tulika Arora +6 more
TL;DR: In this article , a preclinical model of Roux-en-Y gastric bypass was used to investigate the contribution of the gut microbiota in mediating the favorable effects of RYGB.
A side-by-side comparison of peptide-delivered antisense antibiotics employing different nucleotide mimics
Chandradhish Ghosh,Linda Popella,V. Dhamodharan,Jakob Jung,Lars Barquist,Claudia Höbartner,Jörg Vogel +6 more
TL;DR: In this paper , the authors compared the activities of seven chemically distinct 10-mer ASOs, all designed to target the essential gene acpP upon delivery with a KFF-peptide carrier into Salmonella.
Posted ContentDOI
ANNOgesic: A Pipeline To Translate Bacterial/Archaeal RNA-Seq Data Into High-Resolution Genome Annotations
TL;DR: A powerful and modular pipeline called ANNOgesic is constructed that provides the required analyses and simplifies RNA-Seq-based bacterial and archaeal genome annotation and predicts and annotates numerous features, including small non-coding RNAs, with high precision.
Posted ContentDOI
Improved RNA stability estimation through Bayesian modeling reveals most bacterial transcripts have sub-minute half-lives
Laura Jenniches,Charlotte Michaux,Sarah Reichardt,Jörg Vogel,Alexander J. Westermann,Lars Barquist +5 more
TL;DR: In this article , a hierarchical Bayesian model was developed to correct for confounding factors in rifampicin RNA stability assays and enables to identify differentially decaying transcripts transcriptome-wide.