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Unsupervised fuzzy binning of metagenomic sequence fragments on three-dimensional Barnes-Hut t-Stochastic Neighbor Embeddings
(Institute of Electrical and Electronics Engineers Inc., 2018-01-01)
Shotgun metagenomic studies attempt to reconstruct population genome sequences from complex microbial communities. In some traditional genome demarcation approaches, high-dimensional sequence data are embedded into ...
Benchmarking of binning methods using a conceptual metagenome.
(2014)
Background.
Metagenomics entails the study of entire microbial communities in situ via direct sampling and sequencing of
genomes present in a given environment. In recent years, the availability of metagenomic sequences ...
A metagenomic approach to cyanobacterial genomics
(2017-05-09)
Cyanobacteria, or oxyphotobacteria, are primary producers that establish ecological interactions with a wide variety of organisms. Although their associations with eukaryotes have received most attention, interactions with ...
Standardized Approaches for Assessing Metagenomic Contig Binning Performance from Barnes-Hut t-Stochastic Neighbor Embeddings
(SPRINGER, 2020-01-01)
The performance of unsupervised methods for metagenomic binning is often assessed using simulated microbial communities. The lack of well-characterized evaluation protocols and approaches to community construction cognizant ...
Standardized Approaches for Assessing Metagenomic Contig Binning Performance from Barnes-Hut t-Stochastic Neighbor Embeddings
(SPRINGER, 2020-01-01)
The performance of unsupervised methods for metagenomic binning is often assessed using simulated microbial communities. The lack of well-characterized evaluation protocols and approaches to community construction cognizant ...
Standardized Approaches for Assessing Metagenomic Contig Binning Performance from Barnes-Hut t-Stochastic Neighbor Embeddings
(SPRINGER, 2020-01-01)
The performance of unsupervised methods for metagenomic binning is often assessed using simulated microbial communities. The lack of well-characterized evaluation protocols and approaches to community construction cognizant ...
Binning application in low-dimensional metagenomic sequences: performance of Barnes-Hut t-Stochastic Neighbor Embeddings, assessment of internal cluster validity indices
(Universidad EAFITMaestría en Matemáticas AplicadasEscuela de Ciencias. Departamento de Ciencias BásicasMedellín, 2019)
Metagenomic studies aim to reconstruct the structure of microbial communities through the use of DNA sequence data of complex composition. To this end, they generally embed multidimensional data into low dimensional spaces ...
CLAME : a new alignment-based binning algorithm allows the genomic description of a novel Xanthomonadaceae from the Colombian Andes
(BioMed Central (BMC)Microbiología AmbientalSistemas Embebidos e Inteligencia Computacional (SISTEMIC)Londres, Reino Unido, 2021)
Unsupervised fuzzy binning of metagenomic sequence fragments on three-dimensional Barnes-Hut t-Stochastic Neighbor Embeddings
(Institute of Electrical and Electronics Engineers Inc., 2018-01-01)
Shotgun metagenomic studies attempt to reconstruct population genome sequences from complex microbial communities. In some traditional genome demarcation approaches, high-dimensional sequence data are embedded into ...