Bioinformatics-Driven Big Data Analytics in Microbial Research

Abstract

With the advent of sophisticated and high-end molecular biological technologies, microbial research has observed tremendous boom. It has now become one of the most prominent sources for the generation of “big data.” This is made possible due to huge data coming from the experimental platforms like whole genome sequencing projects, microarray technologies, mapping of Single Nucleotide Polymorphisms (SNP), proteomics, metabolomics, and phenomics programs. For analysis, interpretation, comparison, storage, archival, and utilization of this wealth of information, bioinformatics has emerged as a massive platform to solve the problems of data management in microbial research. In present chapter, the authors present an account of “big data” resources spread across the microbial domain of research, the efforts that are being made to generate “big data,” computational resources facilitating analysis and interpretation, and future needs for huge biological data storage, interpretation, and management.