Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models

Deep6 is a deep learning model that classifies metatranscriptomic sequences as short as 250 nucleotides into prokaryotes, eukaryotes, or one of the four viral realms, using a reference-independent and alignment-free approach. Average accuracies range from 0.87 to 0.97, depending on sequence length.

Detalles Bibliográficos
Autores principales: Finke, Jan F., Kellogg, Colleen T.E., Suttle, Curtis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Databases and Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933670/
https://www.ncbi.nlm.nih.gov/pubmed/36651740
http://dx.doi.org/10.1128/mra.01079-22
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author Finke, Jan F.
Kellogg, Colleen T.E.
Suttle, Curtis A.
author_facet Finke, Jan F.
Kellogg, Colleen T.E.
Suttle, Curtis A.
author_sort Finke, Jan F.
collection PubMed
description Deep6 is a deep learning model that classifies metatranscriptomic sequences as short as 250 nucleotides into prokaryotes, eukaryotes, or one of the four viral realms, using a reference-independent and alignment-free approach. Average accuracies range from 0.87 to 0.97, depending on sequence length.
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spelling pubmed-99336702023-02-17 Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models Finke, Jan F. Kellogg, Colleen T.E. Suttle, Curtis A. Microbiol Resour Announc Databases and Software Deep6 is a deep learning model that classifies metatranscriptomic sequences as short as 250 nucleotides into prokaryotes, eukaryotes, or one of the four viral realms, using a reference-independent and alignment-free approach. Average accuracies range from 0.87 to 0.97, depending on sequence length. American Society for Microbiology 2023-01-18 /pmc/articles/PMC9933670/ /pubmed/36651740 http://dx.doi.org/10.1128/mra.01079-22 Text en Copyright © 2023 Finke et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Databases and Software
Finke, Jan F.
Kellogg, Colleen T.E.
Suttle, Curtis A.
Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models
title Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models
title_full Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models
title_fullStr Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models
title_full_unstemmed Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models
title_short Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models
title_sort deep6: classification of metatranscriptomic sequences into cellular empires and viral realms using deep learning models
topic Databases and Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933670/
https://www.ncbi.nlm.nih.gov/pubmed/36651740
http://dx.doi.org/10.1128/mra.01079-22
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