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Tim Wilhelm Nattkemper

Researcher at Bielefeld University

Publications -  205
Citations -  3868

Tim Wilhelm Nattkemper is an academic researcher from Bielefeld University. The author has contributed to research in topics: Visualization & Automatic image annotation. The author has an hindex of 32, co-authored 190 publications receiving 3310 citations. Previous affiliations of Tim Wilhelm Nattkemper include University of Warwick & San Diego State University.

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Phylogenetic classification of short environmental DNA fragments

TL;DR: The phylogenetic algorithm CARMA for predicting the source organisms of environmental 454 reads is described, which searches for conserved Pfam domain and protein families in the unassembled reads of a sample and exhibits high accuracy for a wide range of taxonomic groups.
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TACOA: taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach.

TL;DR: An accurate multi-class taxonomic classifier was developed for environmental genomic fragments TACOA, which can predict with high reliability the taxonomic origin of genomic fragments as short as 800 bp.
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BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections

TL;DR: Biigle 2.0 as discussed by the authors annotates benthic fauna in marine image collections with tools customized to increase efficiency and effectiveness in the manual annotation process, and the software architecture of the system is described with different use-cases and future developments are discussed.
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Construction of a Large Signature-Tagged Mini-Tn5 Transposon Library and Its Application to Mutagenesis of Sinorhizobium meliloti

TL;DR: A signature-tagged transposon mutagenesis method was used that allowed analysis of the survival and competitiveness of many mutants in a single experiment and resulted in defined, nonredundant sets of signature- tagged S. meliloti mutants.
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Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTEN.

TL;DR: The results show that inter- and intra-observer agreements of human experts exhibit considerable variation between the species, with a similar degree of variation apparent in the automatically derived results obtained by iSIS.