Cargando…
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.
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: | |
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 |
Ejemplares similares
-
virMine 2.0: Identifying Viral Sequences in Microbial Communities
por: Johnson, Genevieve, et al.
Publicado: (2022) -
ViroMatch: A Computational Pipeline for the Detection of Viral Sequences from Complex Metagenomic Data
por: Wylie, Todd N., et al.
Publicado: (2021) -
COMAN: a web server for comprehensive metatranscriptomics analysis
por: Ni, Yueqiong, et al.
Publicado: (2016) -
SAMSA2: a standalone metatranscriptome analysis pipeline
por: Westreich, Samuel T., et al.
Publicado: (2018) -
sparse-growth-curve: a Computational Pipeline for Parsing Cellular Growth Curves with Low Temporal Resolution
por: Cheng, Chuankai, et al.
Publicado: (2021)