R
Rasmus Hansen Kirkegaard
Researcher at Aalborg University
Publications - 42
Citations - 4228
Rasmus Hansen Kirkegaard is an academic researcher from Aalborg University. The author has contributed to research in topics: Metagenomics & Genome. The author has an hindex of 21, co-authored 37 publications receiving 2777 citations.
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Journal ArticleDOI
Complete nitrification by Nitrospira bacteria
Holger Daims,Elena V. Lebedeva,Petra Pjevac,Ping Han,Craig W. Herbold,Mads Albertsen,Nico Jehmlich,Márton Palatinszky,Julia Vierheilig,A. G. Bulaev,Rasmus Hansen Kirkegaard,Martin von Bergen,Thomas Rattei,Bernd Bendinger,Per Halkjær Nielsen,Michael Wagner +15 more
TL;DR: The discovery and cultivation of a completely nitrifying bacterium from the genus Nitrospira, a globally distributed group of nitrite oxidizers, and the genome of this chemolithoautotrophic organism encodes the pathways both for ammonia and nitrite oxidation.
Journal ArticleDOI
Back to Basics – The Influence of DNA Extraction and Primer Choice on Phylogenetic Analysis of Activated Sludge Communities
Mads Albertsen,Søren Michael Karst,Anja Sloth Ziegler,Rasmus Hansen Kirkegaard,Per Halkjær Nielsen +4 more
TL;DR: In this article, the authors systematically explored the impact of a number of parameters on the observed microbial community: bead beating intensity, primer choice, extracellular DNA removal, and various PCR settings.
Posted ContentDOI
ampvis2: an R package to analyse and visualise 16S rRNA amplicon data
TL;DR: ampvis2, an R package designed for analysis of microbial community data in OTU-table format with focus on simplicity, reproducibility, and sample metadata integration, with a minimal set of intuitive commands, which includes flexible heatmaps and simplified ordination.
Journal ArticleDOI
Retrieval of a million high-quality, full-length microbial 16S and 18S rRNA gene sequences without primer bias.
Søren Michael Karst,Morten Simonsen Dueholm,Simon Jon McIlroy,Rasmus Hansen Kirkegaard,Per Halkjær Nielsen,Mads Albertsen +5 more
TL;DR: This work combines poly(A)-tailing and reverse transcription of SSU rRNA molecules with synthetic long-read sequencing to generate high-quality, full-length SSUrRNA sequences, without primer bias, at high throughput, and will enable expansion of the SSu rRNA reference databases by orders of magnitude, and contribute to a comprehensive census of the tree of life.
Journal ArticleDOI
High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing.
Søren Michael Karst,Ryan M. Ziels,Rasmus Hansen Kirkegaard,Emil A. Sørensen,Daniel McDonald,Qiyun Zhu,Rob Knight,Mads Albertsen +7 more
TL;DR: In this article, a high-throughput amplicon sequencing approach combining unique molecular identifiers (UMIs) with Oxford Nanopore Technologies (ONT) or Pacific Biosciences circular consensus sequencing, yielding high-accuracy single-molecule consensus sequences of large genomic regions.