Search results for "Taxonomic assignment"

showing 2 items of 2 documents

A molecular-based identification resource for the arthropods of Finland

2022

Publisher Copyright: © 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the…

0106 biological sciencesResource (biology)DNA barcodesspecies identificationBiodiversityreference libraryarthropodsBiologyBarcodeProbabilistic taxonomic assignment010603 evolutionary biology01 natural scienceslaw.inventionCoiCOI03 medical and health sciencessymbols.namesakeProtaxlawprobabilistic taxonomic assignmentniveljalkaisetGeneticsAnimalsDNA Barcoding TaxonomicSpecies identificationArthropodsSpecies identificationFinlandEcology Evolution Behavior and SystematicsGene Library030304 developmental biology0303 health sciencesDNA-analyysiPROTAXsystematiikka (biologia)Linnaean taxonomyReference libraryBiodiversityGeographyEvolutionary biologyDna barcodes1181 Ecology evolutionary biologysymbolsidentificationlajinmääritysIdentification (biology)Biotechnology
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Accelerating metagenomic read classification on CUDA-enabled GPUs.

2016

Metagenomic sequencing studies are becoming increasingly popular with prominent examples including the sequencing of human microbiomes and diverse environments. A fundamental computational problem in this context is read classification; i.e. the assignment of each read to a taxonomic label. Due to the large number of reads produced by modern high-throughput sequencing technologies and the rapidly increasing number of available reference genomes software tools for fast and accurate metagenomic read classification are urgently needed. We present cuCLARK, a read-level classifier for CUDA-enabled GPUs, based on the fast and accurate classification of metagenomic sequences using reduced k-mers (…

0301 basic medicineTheoretical computer scienceWorkstationGPUsComputer scienceContext (language use)CUDAParallel computingBiochemistryGenomelaw.invention03 medical and health sciencesCUDAUser-Computer Interface0302 clinical medicineStructural BiologylawTaxonomic assignmentHumansMicrobiomeMolecular BiologyInternetXeonApplied MathematicsHigh-Throughput Nucleotide SequencingSequence Analysis DNAExact k-mer matchingComputer Science Applications030104 developmental biologyTitan (supercomputer)Metagenomics030220 oncology & carcinogenesisMetagenomicsDNA microarraySoftwareBMC bioinformatics
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