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Hawkeye: an interactive visual analytics tool for genome assemblies

Michael C Schatz1*, Adam M Phillippy1, Ben Shneiderman2 and Steven L Salzberg1

Author Affiliations

1 Center for Bioinformatics and Computational Biology, Biomolecular Sciences Building, University of Maryland, College Park, Maryland, 20742, USA

2 Department of Computer Science and Human-Computer Interaction Lab, A.V. Williams Building, University of Maryland, College Park, Maryland, 20742, USA

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Genome Biology 2007, 8:R34 doi:10.1186/gb-2007-8-3-r34

Published: 9 March 2007

Abstract

Genome sequencing remains an inexact science, and genome sequences can contain significant errors if they are not carefully examined. Hawkeye is our new visual analytics tool for genome assemblies, designed to aid in identifying and correcting assembly errors. Users can analyze all levels of an assembly along with summary statistics and assembly metrics, and are guided by a ranking component towards likely mis-assemblies. Hawkeye is freely available and released as part of the open source AMOS project http://amos.sourceforge.net/hawkeye webcite.