Emerging Infectious Disease ISSN: 1080-6059

Accommodating Error Analysis in Comparison and Clustering of Molecular Fingerprints

Hugh Salamon*, Mark R. Segal*, Alfredo Ponce de Leon†, and Peter M. Small‡

Author affiliations: *University of California, San Francisco, California, USA; †Instituto Nacional Nutrición, Zubriran, Mexico City, Mexico; ‡Stanford University Medical Center, Stanford, California, USA

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Figure 3

Additional alignment of very similar patterns can identify clearly distinct patterns. Measurement noise obscures the detailed relationships between 26 patterns that were identified from 1,335 as being very similar. However, after alignment to a consensus pattern, a clearly distinct pattern (an outlier from the other members of this autocluster) can be readily identified. Fragment lengths are given in kilobasepairs (kb).

Figure 3. Additional alignment of very similar patterns can identify clearly distinct patterns. Measurement noise obscures the detailed relationships between 26 patterns that were identified from 1,335 as being very similar. However, after alignment to a consensus pattern, a clearly distinct pattern (an outlier from the other members of this autocluster) can be readily identified. Fragment lengths are given in kilobasepairs (kb).

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