Taking the next-gen step: comprehensive antimicrobial resistance detection from Burkholderia pseudomallei
28 August 2020
The authors demonstrate that existing AMR software are inadequate for comprehensive AMR detection; ARDaP overcomes the shortcomings of existing tools. Further, ARDaP enables AMR prediction from mixed sequence data down to 5% allelic frequency. ARDaP databases can be constructed for any microbial species of interest for comprehensive AMR detection.
Further reading: bioRxiv
Author(s): Danielle E. Madden, Jessica R. Webb, Eike J. Steinig, Bart J. Currie, ProfileErin P. Price, Derek S. Sarovich
Healthy Patients Smart Innovations
EADA 2023
Emerging Antimicrobials and Diagnostics in AMR 2023
International Matchmaking Symposium EADA 2023
Amsterdam, The Netherlands
16/17 November