Published in

Oxford University Press (OUP), Bioinformatics, 5(25), p. 662-663

DOI: 10.1093/bioinformatics/btp017

Links

Tools

Export citation

Search in Google Scholar

AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context

Journal article published in 2009 by Olivier Martin, Armand Valsesia ORCID, Amalio Telenti, Ioannis Xenarios ORCID, Brian J. Stevenson
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

Summary: We present a tool designed for visualization of large-scale genetic and genomic data exemplified by results from genome-wide association studies. This software provides an integrated framework to facilitate the interpretation of SNP association studies in genomic context. Gene annotations can be retrieved from Ensembl, linkage disequilibrium data downloaded from HapMap and custom data imported in BED or WIG format. AssociationViewer integrates functionalities that enable the aggregation or intersection of data tracks. It implements an efficient cache system and allows the display of several, very large-scale genomic datasets.