Volume 8, Number 11, November 2002

Tuberculosis Genotyping Network, United States

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*
*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

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, 1= no hybridization, = =positive hybridization in >50% of the patterns, O = no hybridization in >50% of the patterns.

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This page last reviewed November 5, 2002

Emerging Infectious Diseases Journal
National Center for Infectious Diseases
Centers for Disease Control and Prevention