J
Johannes Alneberg
Researcher at Royal Institute of Technology
Publications - 28
Citations - 3057
Johannes Alneberg is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Metagenomics & Genome. The author has an hindex of 14, co-authored 28 publications receiving 1739 citations.
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Journal ArticleDOI
Binning metagenomic contigs by coverage and composition
Johannes Alneberg,Brynjar Smari Bjarnason,Ino de Bruijn,Melanie Schirmer,Joshua Quick,Umer Zeeshan Ijaz,Leo Lahti,Nicholas J. Loman,Anders F. Andersson,Christopher Quince +9 more
TL;DR: ConCOCT, a new algorithm that combines sequence composition and coverage across multiple samples, to automatically cluster contigs into genomes is presented, demonstrating high recall and precision on artificial as well as real human gut metagenome data sets.
Journal ArticleDOI
The nf-core framework for community-curated bioinformatics pipelines.
Philip Ewels,Alexander Peltzer,Sven Fillinger,Harshil Patel,Johannes Alneberg,Andreas Wilm,Maxime Garcia,Paolo Di Tommaso,Sven Nahnsen +8 more
TL;DR: The nf-core framework is introduced as a means for the development of collaborative, peerreviewed, best-practice analysis pipelines that can be used across all institutions and research facilities and introduces a higher degree of portability as compared to custom in-house scripts.
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Metagenome-assembled genomes uncover a global brackish microbiome
Luisa W. Hugerth,John Larsson,Johannes Alneberg,Markus V. Lindh,Catherine Legrand,Jarone Pinhassi,Anders F. Andersson +6 more
TL;DR: It is proposed that brackish environments exert such strong selection that lineages adapted to them flourish globally with limited influence from surrounding aquatic communities.
Journal ArticleDOI
DESMAN: a new tool for de novo extraction of strains from metagenomes
Christopher Quince,Tom O. Delmont,Sebastien Raguideau,Johannes Alneberg,Aaron E. Darling,Gavin Collins,Gavin Collins,A. Murat Eren,A. Murat Eren +8 more
TL;DR: This work validated DESMAN on a complex 50-species 210-genome 96-sample synthetic mock data set and then applied it to the Tara Oceans microbiome, proving its ability to resolve strain-level variation.
Journal ArticleDOI
Ninety-nine de novo assembled genomes from the moose (Alces alces) rumen microbiome provide new insights into microbial plant biomass degradation.
Olov Svartström,Johannes Alneberg,Nicolas Terrapon,Nicolas Terrapon,Vincent Lombard,Vincent Lombard,Ino de Bruijn,Jonas Malmsten,Jonas Malmsten,Ann-Marie Dalin,Emilie E. L. Muller,Pranjul Shah,Paul Wilmes,Bernard Henrissat,Bernard Henrissat,Bernard Henrissat,Henrik Aspeborg,Anders F. Andersson +17 more
TL;DR: Almost 100 CAZyme-annotated genomes reconstructed in this study provide an in-depth view of an efficient lignocellulose-degrading microbiome and prospects for developing enzyme technology for biorefineries.