Microbiome Sample Comparison and Search: From Pair-Wise Calculations to Model-Based Matching.

ABSTRACT: A huge quantity of microbiome samples have been accumulated, and more are yet to come from all niches around the globe. With the accumulation of data, there is an urgent need for comparisons and searches of microbiome samples among thousands of millions of samples in a fast and accurate manner. However, it is a very difficult computational challenge to identify similar samples, as well as identify their likely origins, among such a grand pool of samples from all around the world. Currently, several approaches have already been proposed for such a challenge, based on either distance calculation, unsupervised algorithms, or supervised algorithms. These methods have advantages and disadvantages for the different settings of comparisons and searches, and their results are also drastically diff

SUBMITTER: Zha Y 

PROVIDER: S-EPMC8059704 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature