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BARM and BalticMicr...
BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea
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- Alneberg, Johannes (författare)
- KTH,Genteknologi,Science for Life Laboratory, SciLifeLab
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- Sundh, John (författare)
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden
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- Bennke, Christin (författare)
- Leibniz Institute for Baltic Sea Research, Warnemünde, Germany
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- Beier, Sara (författare)
- Leibniz Institute for Baltic Sea Research, Warnemünde, Germany
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- Lundin, Daniel (författare)
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
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- Hugerth, Luisa, 1987- (författare)
- KTH,Science for Life Laboratory, SciLifeLab,Skolan för bioteknologi (BIO)
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- Pinhassi, Jarone (författare)
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
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- Kisand, Veljo (författare)
- University of Tartu, Institute of Technology, Tartu, Estonia
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- Riemann, Lasse (författare)
- Section for Marine Biological Section, Department of Biology, University of Copenhagen, Helsingør, Denmark
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- Jürgens, Klaus (författare)
- Leibniz Institute for Baltic Sea Research, Warnemünde, Germany
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- Labrenz, Matthias (författare)
- Leibniz Institute for Baltic Sea Research, Warnemünde, Germany
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- Andersson, Anders F. (författare)
- KTH,Genteknologi,Science for Life Laboratory, SciLifeLab
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(creator_code:org_t)
- Engelska.
- Relaterad länk:
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https://kth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Mikrobiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Microbiology (hsv//eng)
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
Publikations- och innehållstyp
- vet (ämneskategori)
- ovr (ämneskategori)
- Av författaren/redakt...
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Alneberg, Johann ...
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Sundh, John
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Bennke, Christin
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Beier, Sara
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Lundin, Daniel
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Hugerth, Luisa, ...
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visa fler...
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Pinhassi, Jarone
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Kisand, Veljo
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Riemann, Lasse
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Jürgens, Klaus
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Labrenz, Matthia ...
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Andersson, Ander ...
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visa färre...
- Om ämnet
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Bioinformatik oc ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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och Bioinformatik
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Mikrobiologi
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Ekologi
- Av lärosätet
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Kungliga Tekniska Högskolan