Rapid comparison and correlation analysis among massive number of microbial community samples based on MDV data model.

ABSTRACT: The research in microbial communities would potentially impact a vast number of applications in "bio"-related disciplines. Large-scale analyses became a clear trend in microbial community studies, thus it is increasingly important to perform efficient and in-depth data mining for insightful biological principles from large number of samples. However, as microbial communities are from different sources and of different structures, comparison and data-mining from large number of samples become quite difficult. In this work, we have proposed a data model to represent large-scale comparison of microbial community samples, namely the "Multi-Dimensional View" data model (the MDV model) that should at least include 3 aspects: samples profile (S), taxa profile (T) and meta-data profile (V). We hav

SUBMITTER: Su X 

PROVIDER: S-EPMC4165942 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature