Cargando…
Deconvoluting simulated metagenomes: the performance of hard- and soft- clustering algorithms applied to metagenomic chromosome conformation capture (3C)
BACKGROUND: Chromosome conformation capture, coupled with high throughput DNA sequencing in protocols like Hi-C and 3C-seq, has been proposed as a viable means of generating data to resolve the genomes of microorganisms living in naturally occuring environments. Metagenomic Hi-C and 3C-seq datasets...
Autores principales: | DeMaere, Matthew Z., Darling, Aaron E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5103821/ https://www.ncbi.nlm.nih.gov/pubmed/27843713 http://dx.doi.org/10.7717/peerj.2676 |
Ejemplares similares
-
Deconvolute individual genomes from metagenome sequences through short read clustering
por: Li, Kexue, et al.
Publicado: (2020) -
Metagenomic Chromosome Conformation Capture (3C): techniques, applications, and challenges
por: Liu, Michael, et al.
Publicado: (2015) -
bin3C: exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes
por: DeMaere, Matthew Z., et al.
Publicado: (2019) -
PhyloSift: phylogenetic analysis of genomes and metagenomes
por: Darling, Aaron E., et al.
Publicado: (2014) -
Rhometa: Population recombination rate estimation from metagenomic read datasets
por: Krishnan, Sidaswar, et al.
Publicado: (2023)