Microbiology Spectrum | VOL. 10
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Investigation of the Defective Growth Pattern and Multidrug Resistance in a Clinical Isolate of Candida glabrata Using Whole-Genome Sequencing and Computational Biology Applications

Publication Date Aug 31, 2022

Abstract

In this study, a cholesterol-dependent C. glabrata clinical isolate that confers azole and AmB resistance was investigated using artificial intelligence (AI) technologies and cloud computing applications. This is the first of the known cholesterol-dependent C. glabrata isolate to be found in Turkey.

Concepts

Computational Biology Applications Glabrata Clinical Isolate Whole-Genome Sequencing Artificial Intelligence Multidrug Resistance Azole Resistance Artificial Intelligence Technologies Defective Pattern Intelligence Technologies Isolate Of Candida Glabrata

Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.

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