| Literature DB >> 24215028 |
Hue Vuong1, Robert M Stephens, Natalia Volfovsky.
Abstract
MOTIVATION: The plethora of information that emerges from large-scale genome characterization studies has triggered the development of computational frameworks and tools for efficient analysis, interpretation and visualization of genomic data. Functional annotation of genomic variations and the ability to visualize the data in the context of whole genome and/or multiple genomes has remained a challenging task. We have developed an interactive web-based tool, AVIA (Annotation, Visualization and Impact Analysis), to explore and interpret large sets of genomic variations (single nucleotide variations and insertion/deletions) and to help guide and summarize genomic experiments. The annotation, summary plots and tables are packaged and can be downloaded by the user from the email link provided.Mesh:
Year: 2013 PMID: 24215028 PMCID: PMC3967104 DOI: 10.1093/bioinformatics/btt655
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937