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Anthony S. Amend
Researcher at University of Hawaii at Manoa
Publications - 60
Citations - 4062
Anthony S. Amend is an academic researcher from University of Hawaii at Manoa. The author has contributed to research in topics: Biodiversity & Microbiome. The author has an hindex of 25, co-authored 54 publications receiving 3346 citations. Previous affiliations of Anthony S. Amend include Missouri Botanical Garden & University of California, Berkeley.
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Journal ArticleDOI
Improved software detection and extraction of ITS1 and ITS2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data
Johan Bengtsson-Palme,Martin Ryberg,Martin Hartmann,Sara Branco,Zheng Wang,Anna Godhe,Pierre De Wit,Marisol Sánchez-García,Ingo Ebersberger,Filipe de Sousa,Anthony S. Amend,Ari Jumpponen,Martin Unterseher,Erik Kristiansson,Kessy Abarenkov,Yann J. K. Bertrand,Kemal Sanli,K. Martin Eriksson,Unni Vik,Vilmar Veldre,R. Henrik Nilsson +20 more
TL;DR: ITSx is introduced, a Perl‐based software tool to extract ITS1, 5.8S and ITS2 – as well as full‐length ITS sequences – from both Sanger and high‐throughput sequencing data sets, and is rich in features and written to be easily incorporated into automated sequence analysis pipelines.
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Quantifying microbial communities with 454 pyrosequencing: does read abundance count?
TL;DR: It is concluded that read abundance is approximately quantitative within species, but between‐species comparisons can be biased by innate sequence structure, and careful consideration of sequence processing methods and community analyses are warranted when testing hypotheses using read abundance data.
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Indoor fungal composition is geographically patterned and more diverse in temperate zones than in the tropics
TL;DR: The results suggest that factors driving fungal composition are primarily global rather than mediated by building design or function, and it is shown that fungal diversity is significantly higher in temperate zones than in the tropics, with distance from the equator being the best predictor of phylogenetic community similarity.
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An open source software package for automated extraction of ITS1 and ITS2 from fungal ITS sequences for use in high-throughput community assays and molecular ecology
R. Henrik Nilsson,R. Henrik Nilsson,Vilmar Veldre,Martin Hartmann,Martin Unterseher,Anthony S. Amend,Johannes Bergsten,Erik Kristiansson,Martin Ryberg,Ari Jumpponen,Kessy Abarenkov +10 more
TL;DR: An open source software utility to extract the highly variable ITS1 and ITS2 subregions from fungal nuclear ITS sequences, the region of choice for environmental sampling and molecular identification of fungi, is introduced.
Journal ArticleDOI
Aspergillus, Penicillium and Talaromyces isolated from house dust samples collected around the world.
Cobus M. Visagie,Yuuri Hirooka,Joey B. Tanney,E. Whitfield,K. Mwange,M. Meijer,Anthony S. Amend,Keith A. Seifert,Rob Samson +8 more
TL;DR: The aim of this study was to identify isolates to species level and describe the new species found, and to create a reliable reference sequence database to be used for next-generation sequencing projects.