Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale representation

BACKGROUND: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualization tools are required to represent results of the exploratory analysis on the web in an easy-to-comprehend form and to...

Descripción completa

Detalles Bibliográficos
Autores principales: Zaslavsky, Leonid, Bao, Yiming, Tatusova, Tatiana A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2416652/
https://www.ncbi.nlm.nih.gov/pubmed/18485197
http://dx.doi.org/10.1186/1471-2105-9-237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2416652/
https://www.ncbi.nlm.nih.gov/pubmed/18485197
http://dx.doi.org/10.1186/1471-2105-9-237

Ejemplares similares