Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data
Spacer oligonucleotide (spoligotyping) analysis is a rapid polymerase chain reaction–based method of DNA fingerprinting the Mycobacterium tuberculosis complex. We examined spoligotype data using a bioinformatic tool (sequence logo analysis) to elucidate undisclosed phylogenetic relationships and gai...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Centers for Disease Control and Prevention
2002-11-01
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| Series: | Emerging Infectious Diseases |
| Subjects: | |
| Online Access: | https://wwwnc.cdc.gov/eid/article/8/11/02-0174_article |
| _version_ | 1811341111148412928 |
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| author | Jeffrey R. Driscoll Pablo J. Bifani Barun Mathema Michael A. McGarry Genét M. Zickas Barry N. Kreiswirth Harry W. Taber |
| author_facet | Jeffrey R. Driscoll Pablo J. Bifani Barun Mathema Michael A. McGarry Genét M. Zickas Barry N. Kreiswirth Harry W. Taber |
| author_sort | Jeffrey R. Driscoll |
| collection | DOAJ |
| description | Spacer oligonucleotide (spoligotyping) analysis is a rapid polymerase chain reaction–based method of DNA fingerprinting the Mycobacterium tuberculosis complex. We examined spoligotype data using a bioinformatic tool (sequence logo analysis) to elucidate undisclosed phylogenetic relationships and gain insights into the global dissemination of strains of tuberculosis. Logo analysis of spoligotyping data provides a simple way to describe a fingerprint signature and may be useful in categorizing unique spoligotypes patterns as they are discovered. Large databases of DNA fingerprint information, such as those from the U.S. National Tuberculosis Genotyping and Surveillance Network and the European Concerted Action on Tuberculosis, contain information on thousands of strains from diverse regions. The description of related spoligotypes has depended on exhaustive listings of the individual spoligotyping patterns. Logo analysis may become another useful graphic method of visualizing and presenting spoligotyping clusters from these databases. |
| first_indexed | 2024-04-13T18:51:51Z |
| format | Article |
| id | doaj.art-8457c277eb574e15a14a26d9f8049ee6 |
| institution | Directory Open Access Journal |
| issn | 1080-6040 1080-6059 |
| language | English |
| last_indexed | 2024-04-13T18:51:51Z |
| publishDate | 2002-11-01 |
| publisher | Centers for Disease Control and Prevention |
| record_format | Article |
| series | Emerging Infectious Diseases |
| spelling | doaj.art-8457c277eb574e15a14a26d9f8049ee62022-12-22T02:34:24ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592002-11-018111306130910.3201/eid0811.020174Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis DataJeffrey R. DriscollPablo J. BifaniBarun MathemaMichael A. McGarryGenét M. ZickasBarry N. KreiswirthHarry W. TaberSpacer oligonucleotide (spoligotyping) analysis is a rapid polymerase chain reaction–based method of DNA fingerprinting the Mycobacterium tuberculosis complex. We examined spoligotype data using a bioinformatic tool (sequence logo analysis) to elucidate undisclosed phylogenetic relationships and gain insights into the global dissemination of strains of tuberculosis. Logo analysis of spoligotyping data provides a simple way to describe a fingerprint signature and may be useful in categorizing unique spoligotypes patterns as they are discovered. Large databases of DNA fingerprint information, such as those from the U.S. National Tuberculosis Genotyping and Surveillance Network and the European Concerted Action on Tuberculosis, contain information on thousands of strains from diverse regions. The description of related spoligotypes has depended on exhaustive listings of the individual spoligotyping patterns. Logo analysis may become another useful graphic method of visualizing and presenting spoligotyping clusters from these databases.https://wwwnc.cdc.gov/eid/article/8/11/02-0174_articletuberculosisDNA fingerprintingbioinformaticsspoligotypingUnited States |
| spellingShingle | Jeffrey R. Driscoll Pablo J. Bifani Barun Mathema Michael A. McGarry Genét M. Zickas Barry N. Kreiswirth Harry W. Taber Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data Emerging Infectious Diseases tuberculosis DNA fingerprinting bioinformatics spoligotyping United States |
| title | Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data |
| title_full | Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data |
| title_fullStr | Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data |
| title_full_unstemmed | Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data |
| title_short | Spoligologos: A Bioinformatic Approach to Displaying and Analyzing Mycobacterium tuberculosis Data |
| title_sort | spoligologos a bioinformatic approach to displaying and analyzing mycobacterium tuberculosis data |
| topic | tuberculosis DNA fingerprinting bioinformatics spoligotyping United States |
| url | https://wwwnc.cdc.gov/eid/article/8/11/02-0174_article |
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