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Björn M. Ursing
Researcher at Karolinska Institutet
Publications - 5
Citations - 2422
Björn M. Ursing is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: The Internet & Expressed sequence tag. The author has an hindex of 4, co-authored 5 publications receiving 1982 citations.
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The UNITE database for molecular identification of fungi - recent updates and future perspectives
Kessy Abarenkov,R. Henrik Nilsson,R. Henrik Nilsson,Karl-Henrik Larsson,Ian J. Alexander,Ursula Eberhardt,Susanne Erland,Klaus Høiland,Rasmus Kjøller,Ellen Larsson,Taina Pennanen,Robin Sen,Andy F. S. Taylor,Leho Tedersoo,Björn M. Ursing,Trude Vrålstad,Kare Liimatainen,Ursula Peintner,Urmas Kõljalg +18 more
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UNITE: a database providing web-based methods for the molecular identification of ectomycorrhizal fungi
Urmas Kõljalg,Karl-Henrik Larsson,Kessy Abarenkov,R. Henrik Nilsson,Ian J. Alexander,Ursula Eberhardt,Susanne Erland,Klaus Høiland,Rasmus Kjøller,Ellen Larsson,Taina Pennanen,Robin Sen,Andy F. S. Taylor,Leho Tedersoo,Trude Vrålstad,Björn M. Ursing +15 more
TL;DR: The UNITE database, an open-access database dedicated to the reliable identification of ECM fungi, comprises well annotated fungal ITS sequences from well defined herbarium specimens that include full her barium reference identification data, collector/source and ecological data.
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galaxie---CGI scripts for sequence identification through automated phylogenetic analysis
TL;DR: Phylogenetic inference outperforms similarity searches in retrieving correct phylogenies and consequently sequence identities, and a project was initiated to design a freely available script package for sequence identification through automated Web-based phylogenetic analysis.
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galaxieEST: addressing EST identity through automated phylogenetic analysis
TL;DR: By addressing sequence relatedness in addition to similarity, galaxieEST provides an integrative view on EST origin and identity, which may prove particularly useful in cases where similarity searches return one or more pertinent, but not full, matches and additional information on the query EST is needed.
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WiGID: wireless genome information database.
TL;DR: Genome entries in WiGID can be queried by the number of open reading frames (ORFs), genus and species name and year published, and initial search results are linked to information on the full entry.