SpoTyping

SpoTyping is a software tool to enhance the process of spoligotyping, which is a method used to differentiate strains of Mycobacterium tuberculosis, the bacterium responsible for tuberculosis (TB). Spoligotyping is particularly useful for epidemiological surveillance and research, allowing scientists and public health officials to track TB outbreaks, understand transmission patterns, and develop targeted control strategies. While effective, traditional spoligotyping techniques can be time-consuming and resource-intensive, requiring specific laboratory conditions and expertise.

SpoTyping addresses these challenges by offering a fast and accurate in silico (computer-based) solution for spoligotyping directly from next-generation sequencing (NGS) reads. This program represents a significant advancement in the field by providing a means to quickly and accurately identify M. tuberculosis strains from genetic data obtained through NGS technologies. One of the key strengths of SpoTyping is its ability to maintain high accuracy across reads of both uniform and varying lengths, making it a versatile tool for analyzing sequencing data from a wide range of NGS platforms.

Beyond its core functionality, SpoTyping also offers an integrated feature for producing detailed reports that summarize associated epidemiological data. This feature taps into a global database of all isolates having the same spoligotype, providing users with valuable context about the strains they are studying, including potential links to outbreaks, transmission chains, and geographic distributions. Such information is crucial for understanding the broader implications of specific M. tuberculosis strains, informing public health responses, and guiding research directions.

Topic

Microbiology;Sequencing;Sequence composition, complexity and repeats;Genetic variation

Detail

  • Operation: Variant pattern analysis

  • Software interface: Command-line interface

  • Language: Python

  • License: Not stated

  • Cost: Free of charge

  • Version name: 2.0

  • Credit: NUS Graduate School for Integrative Sciences and Engineering, the National University of Singapore, and National Medical Research Council.

  • Input: -

  • Output: -

  • Contact: Rick Twee-Hee Ong twee_hee_ong@nuhs.edu.sg

  • Collection: -

  • Maturity: Stable

Publications

  • SpoTyping: fast and accurate in silico Mycobacterium spoligotyping from sequence reads.
  • Xia E, et al. SpoTyping: fast and accurate in silico Mycobacterium spoligotyping from sequence reads. SpoTyping: fast and accurate in silico Mycobacterium spoligotyping from sequence reads. 2016; 8:19. doi: 10.1186/s13073-016-0270-7
  • https://doi.org/10.1186/S13073-016-0270-7
  • PMID: 26883915
  • PMC: PMC4756441

Download and documentation


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