Metaphor: finding bi-directional best hit homology relationships in (meta)genomic datasets.
Genomics
; 104(6 Pt B): 459-63, 2014 Dec.
Article
em En
| MEDLINE
| ID: mdl-25449534
ABSTRACT
As the number of assembled genome and metagenome sequences continue to grow at an ever-increasing pace, so does the need for fast, flexible and automated pipelines for generating meaningful homologous relationships within and between these (meta)genomes. Such relationships, or lack thereof, are crucial for differentiating between microbial organisms and environments at compositional, functional and phylogenetic levels. Metaphor is a standalone application that identifies core genes, unique genes, orthologs and paralogs in complex genomic datasets. It is not only limited to isolate genomes, but can also be applied to metagenomes due to its flexible implementation of Bi-directional Best Hit analysis. Thus, Metaphor can be used for a variety of functional and phylogenetic applications on a multitude of (meta)genome datasets.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Software
/
Alinhamento de Sequência
/
Análise de Sequência de DNA
/
Metagenoma
/
Lactobacillus
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
Genomics
Assunto da revista:
GENETICA
Ano de publicação:
2014
Tipo de documento:
Article
País de afiliação:
Holanda