R. Henrik Nilsson mainly investigates Ecology, DNA sequencing, Internal transcribed spacer, Sequence analysis and Identification. In general Ecology, his work in Biodiversity and Species richness is often linked to Molecular identification linking many areas of study. His work carried out in the field of DNA sequencing brings together such families of science as Evolutionary biology and Pyrosequencing.
His Internal transcribed spacer study integrates concerns from other disciplines, such as Taxon and Ribosomal DNA. His study looks at the relationship between Taxon and topics such as Taxonomy, which overlap with Phylogenetics and Database. The Identification study combines topics in areas such as Genetics, Ecology and Computational biology.
His scientific interests lie mostly in Ecology, Computational biology, Ribosomal RNA, Internal transcribed spacer and Taxon. His work on Biodiversity, Species richness and Ecosystem is typically connected to Molecular identification as part of general Ecology study, connecting several disciplines of science. R. Henrik Nilsson interconnects Bioinformatics, Identification, Sequence analysis, DNA sequencing and Metagenomics in the investigation of issues within Computational biology.
His research investigates the connection between DNA sequencing and topics such as DNA barcoding that intersect with issues in Sanger sequencing. His Internal transcribed spacer research incorporates themes from Annotation, Sequence database and GenBank. The study incorporates disciplines such as Taxonomy and Phylogenetics, Clade, Phylogenetic tree in addition to Taxon.
R. Henrik Nilsson mostly deals with Biodiversity, Ecology, Habitat, Taxon and Fungus. His Biodiversity research includes themes of Computational biology and Sequence. The Tundra research R. Henrik Nilsson does as part of his general Ecology study is frequently linked to other disciplines of science, such as Water content, therefore creating a link between diverse domains of science.
His work deals with themes such as Species description, End user and Database, which intersect with Taxon. His Database research is multidisciplinary, relying on both Environmental studies, Sequence database, Community and GenBank. His studies examine the connections between Fungus and genetics, as well as such issues in World Wide Web, with regards to Microbial ecology.
R. Henrik Nilsson mainly focuses on Taxon, Database, Biodiversity, Geography and Habitat. His biological study spans a wide range of topics, including Environmental monitoring and Data science. The various areas that R. Henrik Nilsson examines in his Environmental monitoring study include GenBank, Sequence database, Rare species and Environmental DNA.
His Data science research incorporates elements of Taxonomy, Species description and End user. His study in the field of Community and Guild is also linked to topics like Trait. Throughout his Relevant information studies, R. Henrik Nilsson incorporates elements of other sciences such as Target audience and Extant taxon.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi
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Proceedings of the National Academy of Sciences of the United States of America (2012)
Towards a unified paradigm for sequence-based identification of fungi
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Molecular Ecology (2013)
Global diversity and geography of soil fungi
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Science (2014)
The UNITE database for molecular identification of fungi - recent updates and future perspectives
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New Phytologist (2010)
UNITE: a database providing web-based methods for the molecular identification of ectomycorrhizal fungi
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New Phytologist (2005)
Intraspecific ITS Variability in the Kingdom Fungi as Expressed in the International Sequence Databases and Its Implications for Molecular Species Identification
R. Henrik Nilsson;Erik Kristiansson;Martin Ryberg;Nils Hallenberg.
Evolutionary Bioinformatics (2008)
Fungal community analysis by high-throughput sequencing of amplified markers - a user's guide
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New Phytologist (2013)
Improved software detection and extraction of ITS1 and ITS2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data
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Methods in Ecology and Evolution (2013)
Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective.
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PLOS ONE (2006)
454 Pyrosequencing and Sanger sequencing of tropical mycorrhizal fungi provide similar results but reveal substantial methodological biases
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New Phytologist (2010)
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