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The Relational Sequencing TB Knowledgebase (ReSeqTB) is a one stop source of curated, aggregated, genotypic and phenotypic information and associated metadata from Mycobacterium tuberculosis (Mtb) strains.

The ReSeqTB platform incorporates a standardized, validated whole genome sequencing (WGS) pipeline and a customizable targeted sequence analysis (TSA) pipeline.

The knowledgebase will inform the development of probe-based and next generation sequencing (NGS) assays for interpreting drug resistance / susceptibility and enable large-scale drug resistance surveillance and support clinical decision making for TB patient management.

ReSeqTB provides the content on this website as a free resource to the global TB community. This content has not been evaluated by stringent regulatory authorities and is not intended to be used for patient management.

ReSeqTB Basic Access Site

  • Sign up now to access ReSeqTB data, bioinformatics tools, and reports.
  • This data contains all curated, aggregated genotypic and phenotypic information for publicly available sequences.
  • Visualization and analytic tools available for your use.
  • Aggregated data reports of the entire platform can also be downloaded as well as the most recent mutation interpretation table.
  • The user only needs a simple registration to access the site.

Full-Access ReSeqTB Data Platform

  • Once logged into the public site, links are provided to direct you to the full ReSeqTB platform.
  • This platform contains both public data as well as additional limited-access data contributed to the platform.
  • This restricted site has limited access set by the contributors.
  • Applications to the full-access platform are subject to additional review prior to users being granted access.
  • Please submit your application using the links provided.
  • Your application will be promptly reviewed. Be advised that access is generally provided to ReSeqTB data contributors, diagnostic developers, and qualified TB researchers.
  • Due to the presence of regulated and clinical information, signing in will involve a 2-factor authentication for data compliance.