Cargando…
Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization
The metagenomic method directly sequences and analyses genome information from microbial communities. The main computational tasks for metagenomic analyses include taxonomical and functional structure analysis for all genomes in a microbial community (also referred to as a metagenomic sample). With...
Autores principales: | Su, Xiaoquan, Pan, Weihua, Song, Baoxing, Xu, Jian, Ning, Kang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3940597/ https://www.ncbi.nlm.nih.gov/pubmed/24595159 http://dx.doi.org/10.1371/journal.pone.0089323 |
Ejemplares similares
-
MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison
por: Song, Baoxing, et al.
Publicado: (2012) -
Parallel-META: efficient metagenomic data analysis based on high-performance computation
por: Su, Xiaoquan, et al.
Publicado: (2012) -
An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs
por: Dong, Xiaoli, et al.
Publicado: (2019) -
Assessment of quality control approaches for metagenomic data analysis
por: Zhou, Qian, et al.
Publicado: (2014) -
RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures
por: Paladin, Lisanna, et al.
Publicado: (2017)