Dear friends and colleagues,

In recent days, sequencing technologies are evolving at a rapid pace in different sequencing chemistry with a huge volume of sequences. The output dataset provides a path for the biologist to travel and explore the unknown world of microbial life. But to decode the informations locked in the genome and time of processing requires potential pipelines and platforms. Through different software and tools, computational biologists and bioinformaticians are the in-progress of optimising multiple programming approaches to assist biologists to unravel the hidden secrets by analysing and interpret huge volumes of data from genomes, transcriptomics, metabolomics, and DNA-microarray gene expression. Moreover, it provides insights into the ecology and functions of the interactions and helps to better understand the dynamics within microbial communities and their interactions with hosts and the ecological niches. The application of efficient platforms and pipelines for analysing the sequence datasets according to the research question will help researchers to plan and interpret the hypothesis. Currently, numerous open-access computational tools and platforms are enhancing the biologist to propose molecular insights into the microbial system.

Thus, we are interested in bringing the application of the latest computational pipelines in microbiological research to empirical research findings in the area of genomics and metabolomics. In this section, we are inviting research articles and reviews on the application of computational tools in microbiological research and their sources. It will be a collaboration between biologists and bioinformaticians to share and interact with hypotheses and research questions in microbial life.

We look forward to receiving your contributions.

Dr. Jegan Sekar

Section Editors