Your browser doesn't support javascript.
loading
AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genes.
Vuong, Hue; Che, Anney; Ravichandran, Sarangan; Luke, Brian T; Collins, Jack R; Mudunuri, Uma S.
Afiliación
  • Vuong H; Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
  • Che A; Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
  • Ravichandran S; Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
  • Luke BT; Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
  • Collins JR; Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
  • Mudunuri US; Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
Bioinformatics ; 31(16): 2748-50, 2015 Aug 15.
Article en En | MEDLINE | ID: mdl-25861966
ABSTRACT
UNLABELLED As sequencing becomes cheaper and more widely available, there is a greater need to quickly and effectively analyze large-scale genomic data. While the functionality of AVIA v1.0, whose implementation was based on ANNOVAR, was comparable with other annotation web servers, AVIA v2.0 represents an enhanced web-based server that extends genomic annotations to cell-specific transcripts and protein-level functional annotations. With AVIA's improved interface, users can better visualize their data, perform comprehensive searches and categorize both coding and non-coding variants. AVAILABILITY AND IMPLEMENTATION AVIA is freely available through the web at http//avia.abcc.ncifcrf.gov. CONTACT Hue.Vuong@fnlcr.nih.gov SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Programas Informáticos / Anotación de Secuencia Molecular / Genes Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Programas Informáticos / Anotación de Secuencia Molecular / Genes Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos