AIMC Topic: DNA Barcoding, Taxonomic

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Machine Learned Replacement of N-Labels for Basecalled Sequences in DNA Barcoding.

IEEE/ACM transactions on computational biology and bioinformatics Aug 11, 2016
This study presents a machine learning method that increases the number of identified bases in Sanger Sequencing. The system post-processes a KB basecalled chromatogram. It selects a recoverable subset of N-labels in the KB-called chromatogram to rep...
Humans Neural Networks, Computer Machine Learning Animals Genomics DNA Barcoding, Taxonomic
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A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network.

Artificial intelligence in medicine Jul 4, 2015
OBJECTIVES: In this paper, an alignment-free method for DNA barcode classification that is based on both a spectral representation and a neural gas network for unsupervised clustering is proposed.
Neural Networks, Computer Algorithms Reproducibility of Results Animals Computational Biology Support Vector Machine Databases, Genetic Cluster Analysis Decision Trees DNA Supervised Machine Learning DNA Barcoding, Taxonomic Base Sequence Species Specificity
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Spatio-temporal changes of small protist and free-living bacterial communities in a temperate dimictic lake: insights from metabarcoding and machine learning.

FEMS microbiology ecology Jul 12, 2024
Microbial communities, which include prokaryotes and protists, play an important role in aquatic ecosystems and influence ecological processes. To understand these communities, metabarcoding provides a powerful tool to assess their taxonomic composit...
Machine Learning Temperature Ecosystem Lakes Spatio-Temporal Analysis Bacteria Microbiota Biodiversity Seasons DNA Barcoding, Taxonomic Eukaryota
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Image-based recognition of parasitoid wasps using advanced neural networks.

Invertebrate systematics Jun 1, 2024
Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these species potentially play key roles as food sources, pest controllers and pollinators. However, little is known about the diversity and biology and ~8...
Neural Networks, Computer Female Animals Male Image Processing, Computer-Assisted DNA Barcoding, Taxonomic Classification Species Specificity Wasps
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Classification of DNA Sequence Based on a Non-gradient Algorithm: Pseudoinverse Learners.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
This chapter proposes a prototype-based classification approach for analyzing DNA barcodes that uses a spectral representation of DNA sequences and a non-gradient neural network. Biological sequences can be viewed as data components with higher non-f...
Humans Neural Networks, Computer Algorithms Deep Learning Computational Biology Sequence Analysis, DNA DNA DNA Barcoding, Taxonomic
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