Emerging Infectious Disease ISSN: 1080-6059

Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data

Jeffrey R. Driscoll*

, Pablo J. Bifani†, Barun Mathema, Michael A. McGarry*, Genét M. Zickas*, Barry N. Kreiswirth, and Harry W. Taber*

Author affiliations: *New York State Department of Health, Albany, New York, USA; †Institut Pasteur de Lille, Lille, France; and ‡Public Health Research Institute, New York, New York, USA;

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Figure 2

Figure 2. Logo analysis on nine different spoligotypes observed for Mycobacterium tuberculosis isolates from Vietnam-born patients in Massachusetts demonstrating fewer than six copies of IS6110 by RFLP analysis. Legend: x= hybridization observed to spacer, o= no hybridization observed to spacer, ■= positive hybridization in every spoligotype pattern for that individual spacer sequence, □= no hybridization, ●=positive hybridization in >50% of the patterns, ○= no hybridization in >50% of the patterns.

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