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BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea

Authors :
Alneberg, Johannes
Sundh, John
Bennke, Christin
Beier, Sara
Lundin, Daniel
Hugerth, Luisa W.
Pinhassi, Jarone
Kisand, Veljo
Riemann, Lasse
Jürgens, Klaus
Labrenz, Matthias
Andersson, Anders F.
Source :
Alneberg, J, Sundh, J, Bennke, C, Beier, S, Lundin, D, Hugerth, L W, Pinhassi, J, Kisand, V, Riemann, L, Jürgens, K, Labrenz, M & Andersson, A F 2018, ' BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea ', Scientific Data, vol. 5, 180146 . https://doi.org/10.1038/sdata.2018.146, Scientific Data, 5 . p. 180146.
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

The Baltic Sea is one of the world’s largest brackish water bodies and is characterised by pronounced physicochemical gradients where microbes are the main biogeochemical catalysts. Meta-omic methods provide rich information on the composition of, and activities within microbial ecosystems, but are computationally heavy to perform. We here present the BAltic Sea Reference Metagenome (BARM), complete with annotated genes to facilitate further studies with much less computational effort. The assembly is constructed using 2.6 billion metagenomic reads from 81 water samples, spanning both spatial and temporal dimensions, and contains 6.8 million genes that have been annotated for function and taxonomy. The assembly is useful as a reference, facilitating taxonomic and functional annotation of additional samples by simply mapping their reads against the assembly. This capability is demonstrated by the successful mapping and annotation of 24 external samples. In addition, we present a public web interface, BalticMicrobeDB, for interactive exploratory analysis of the dataset. QC 20180516

Details

Language :
English
ISSN :
20524463
Volume :
5
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.dedup.wf.001..9f20248c0c368dfc9a12ca88934a75c3
Full Text :
https://doi.org/10.1038/sdata.2018.146