Estimating the total genome length of a metagenomic sample using k-mers
Abstract Background Metagenomic sequencing is a powerful technology for studying the mixture of microbes or the microbiomes on human and in the environment. One basic task of analyzing metagenomic data is to identify the component genomes in the community. This task is challenging due to the complex...
Main Authors: | Kui Hua, Xuegong Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-04-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12864-019-5467-x |
Similar Items
-
Multiple comparative metagenomics using multiset k-mer counting
by: Gaëtan Benoit, et al.
Published: (2016-11-01) -
MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage
by: Jia Qian, et al.
Published: (2019-11-01) -
Deep learning model for metagenome fragment classification using spaced k-mers feature extraction
by: Nur Choiriyati, et al.
Published: (2020-07-01) -
KmerGO: A Tool to Identify Group-Specific Sequences With k-mers
by: Ying Wang, et al.
Published: (2020-08-01) -
VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data
by: Jie Ren, et al.
Published: (2017-07-01)