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Tuberculosis Drug Resistance Mutation Database
<!-- end title area --> <!-- start authors --> Andreas Sandgren<sup>*</sup>, Michael Strong, Preetika Muthukrishnan, Brian K. Weiner, George M. Church, Megan B. Murray
Applications of the Database
Centralized databases, curated from the literature or high-throughput experiments [6,7], have helped usher in the era of systems biology [8], and have helped researchers identify global trends and important biological features that would have only been apparent through a comprehensive analysis of the combined data [9]. Examples include protein–protein interaction databases [10,11], genomic databases [12,13], and microarray databases [14–16].
Through this project we present a new database devoted to drug resistance mutations in TB, called the TB Drug Resistance Mutation Database (TBDReaMDB).
By providing a comprehensive, single resource of drug resistance mutations in TB, we hope to accelerate and encourage new discoveries that will have applications ranging from diagnostics to drug discovery.
We envision that this database will expand as additional mutations are identified in the coming years and will serve as a platform for diverse analyses and projects.
TBDReaMDB also complements other TB-related databases such as TBDB (http:<wbr alt="" style="content: attr(alt);">/<wbr alt="" style="content: attr(alt);">/www.tbdb.org<wbr alt="" style="content: attr(alt);">/), a recently developed Web-based resource housing both annotated genome sequence data and expression data from M. tuberculosis and related species [17].
<!-- end affiliations --> <!-- start footnote section -->
Citation: Sandgren A, Strong M, Muthukrishnan P, Weiner BK, Church GM, et al. (2009) Tuberculosis Drug Resistance Mutation Database. PLoS Med 6(2): e1000002 doi:10.1371/journal.pmed.1000002
Published: February 10, 2009
<!-- end title area --> <!-- start authors --> Andreas Sandgren<sup>*</sup>, Michael Strong, Preetika Muthukrishnan, Brian K. Weiner, George M. Church, Megan B. Murray
Applications of the Database
Centralized databases, curated from the literature or high-throughput experiments [6,7], have helped usher in the era of systems biology [8], and have helped researchers identify global trends and important biological features that would have only been apparent through a comprehensive analysis of the combined data [9]. Examples include protein–protein interaction databases [10,11], genomic databases [12,13], and microarray databases [14–16].
Through this project we present a new database devoted to drug resistance mutations in TB, called the TB Drug Resistance Mutation Database (TBDReaMDB).
By providing a comprehensive, single resource of drug resistance mutations in TB, we hope to accelerate and encourage new discoveries that will have applications ranging from diagnostics to drug discovery.
We envision that this database will expand as additional mutations are identified in the coming years and will serve as a platform for diverse analyses and projects.
TBDReaMDB also complements other TB-related databases such as TBDB (http:<wbr alt="" style="content: attr(alt);">/<wbr alt="" style="content: attr(alt);">/www.tbdb.org<wbr alt="" style="content: attr(alt);">/), a recently developed Web-based resource housing both annotated genome sequence data and expression data from M. tuberculosis and related species [17].
<!-- end affiliations --> <!-- start footnote section -->
Citation: Sandgren A, Strong M, Muthukrishnan P, Weiner BK, Church GM, et al. (2009) Tuberculosis Drug Resistance Mutation Database. PLoS Med 6(2): e1000002 doi:10.1371/journal.pmed.1000002
Published: February 10, 2009