Cargando…
Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
BACKGROUND: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, metagenomic datasets are characterized by the presence of organisms with varying GC composition, codon usage biases etc.,...
Autores principales: | Yooseph, Shibu, Li, Weizhong, Sutton, Granger |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2362130/ https://www.ncbi.nlm.nih.gov/pubmed/18402669 http://dx.doi.org/10.1186/1471-2105-9-182 |
Ejemplares similares
-
SPA: a short peptide assembler for metagenomic data
por: Yang, Youngik, et al.
Publicado: (2013) -
GRASP2: fast and memory-efficient gene-centric assembly and homolog search for metagenomic sequencing data
por: Zhong, Cuncong, et al.
Publicado: (2019) -
Analysis and comparison of very large metagenomes with fast clustering and functional annotation
por: Li, Weizhong
Publicado: (2009) -
Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data
por: Davis, Nicole M., et al.
Publicado: (2018) -
Gauge your phage: benchmarking of bacteriophage identification tools in metagenomic sequencing data
por: Ho, Siu Fung Stanley, et al.
Publicado: (2023)