Cargando…
Detection of Pathogenic Microbe Composition Using Next-Generation Sequencing Data
Next-generation sequencing (NGS) technologies have provided great opportunities to analyze pathogenic microbes with high-resolution data. The main goal is to accurately detect microbial composition and abundances in a sample. However, high similarity among sequences from different species and the ex...
Autores principales: | Zhao, Haiyong, Wang, Shuang, Yuan, Xiguo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734255/ https://www.ncbi.nlm.nih.gov/pubmed/33329748 http://dx.doi.org/10.3389/fgene.2020.603093 |
Ejemplares similares
-
MFCNV: A New Method to Detect Copy Number Variations From Next-Generation Sequencing Data
por: Zhao, Haiyong, et al.
Publicado: (2020) -
HBOS-CNV: A New Approach to Detect Copy Number Variations From Next-Generation Sequencing Data
por: Guo, Yang, et al.
Publicado: (2021) -
A Density Peak-Based Method to Detect Copy Number Variations From Next-Generation Sequencing Data
por: Xie, Kun, et al.
Publicado: (2021) -
A shortest path-based approach for copy number variation detection from next-generation sequencing data
por: Liu, Guojun, et al.
Publicado: (2023) -
RKDOSCNV: A Local Kernel Density-Based Approach to the Detection of Copy Number Variations by Using Next-Generation Sequencing Data
por: Liu, Guojun, et al.
Publicado: (2020)