Cargando…
Using Growing Self-Organising Maps to Improve the Binning Process in Environmental Whole-Genome Shotgun Sequencing
Metagenomic projects using whole-genome shotgun (WGS) sequencing produces many unassembled DNA sequences and small contigs. The step of clustering these sequences, based on biological and molecular features, is called binning. A reported strategy for binning that combines oligonucleotide frequency a...
Autores principales: | Chan, Chon-Kit Kenneth, Hsu, Arthur L., Tang, Sen-Lin, Halgamuge, Saman K. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2235928/ https://www.ncbi.nlm.nih.gov/pubmed/18288261 http://dx.doi.org/10.1155/2008/513701 |
Ejemplares similares
-
Binning sequences using very sparse labels within a metagenome
por: Chan, Chon-Kit Kenneth, et al.
Publicado: (2008) -
The oligonucleotide frequency derived error gradient and its application to the binning of metagenome fragments
por: Saeed, Isaam, et al.
Publicado: (2009) -
MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm
por: Wu, Yu-Wei, et al.
Publicado: (2014) -
Unsupervised statistical clustering of environmental shotgun sequences
por: Kislyuk, Andrey, et al.
Publicado: (2009) -
Accurate and sensitive detection of microbial eukaryotes from whole metagenome shotgun sequencing
por: Lind, Abigail L., et al.
Publicado: (2021)