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
OUR UNDERWRITERS
Unrestricted financial support by:
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LifeArc |
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Antimicrobial Resistance Fighter Coalition |
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Bangalore Bioinnovation Centre |
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INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS |
EADA 2023
Emerging Antimicrobials and Diagnostics in AMR 2023
International Matchmaking Symposium EADA 2023
Amsterdam, The Netherlands
16/17 November
