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ThurGood: Evaluating Assembly-to-Assembly Mapping

To cite this article:
Hagit Shatkay, Jason Miller, Clark Mobarry, Michael Flanigan, Shibu Yooseph, and Granger Sutton. Journal of Computational Biology. October 2004, 11(5): 800-811. doi:10.1089/cmb.2004.11.800.

Published in Volume: 11 Issue 5: November 8, 2004

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Author information

Hagit Shatkay

School of Computing, Queen's University, Kingston, Ontario.

Informatics Research Group at Celera/Applied Biosystems.

Jason Miller

Informatics Research Group at Celera/Applied Biosystems.

Clark Mobarry

White Oak Technologies, 1300 Spring St., Suite 320, Silver Spring, MD 20910.

Informatics Research Group at Celera/Applied Biosystems.

Michael Flanigan

Steck Consulting LLC, 2121 K St., NW, Washington, DC 20037.

Informatics Research Group at Celera/Applied Biosystems.

Shibu Yooseph

J. Craig Venter Institute, 9704 Medical Center Dr., Rockville, MD 20850.

Informatics Research Group at Celera/Applied Biosystems.

Granger Sutton

J. Craig Venter Institute, 9704 Medical Center Dr., Rockville, MD 20850.

Informatics Research Group at Celera/Applied Biosystems.

ABSTRACT

The alignment and mapping of large genomic sequences is the focus of much recent research. However, relatively little has been done so far about testing and validating alignment methods. We introduce criteria and new tools we have developed for alignment evaluation. These tools have already proved useful in the evaluation and ranking of several methods for assembly-to-assembly mapping, which were recently used to map multiple versions of the human genome to each other (Istrail et al., 2004).

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