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POSMM: an efficient alignment-free metagenomic profiler that complements alignment-based profiling
Article presents POSMM, Python-Optimized Standard Markov Model classifier, which is a new incarnation of the Markov model approach to metagenomic sequence analysis. The authors claim that by combining POSMM with ultrafast classifiers such as Kraken2, their complementary strengths can be leveraged to produce higher overall accuracy in metagenomic sequence classification than by either as a standalone classifier. POSMM is a user-friendly and highly adaptable tool designed for broad use by the metagenome scientific community.
Date:
March 8, 2023
Creator:
Burks, David J.; Pusadkar, Vaidehi & Azad, Rajeev K.
System:
The UNT Digital Library