A dramatic increase in large-scale cross-sectional and temporal-level metagenomic experiments has led to an improvedunderstanding of the microbiome and its role in human well-being. Consequently, a plethora of analytical methods has beendeveloped to decipher microbial biomarkers for various diseases, cluster different ecosystems based on microbial content,and infer functional potential of the microbiome as well as analyze its temporal behavior. Development of user-friendlyvisualization methods and frameworks is necessary to analyze this data and infer taxonomic and functional patternscorresponding to a phenotype. Thus, new methods as well as application of pre-existing ones has gained importance inrecent times pertaining to the huge volume of the generated microbiome data. In this review, we present a brief overview ofsome useful visualization techniques that have significantly enriched microbiome data analytics.

In the October 2019 Special Issue of the Journal of Biosciences on Current Trends in Microbiome Research, in theReview article titled ‘‘Visual exploration of microbiome data’’ by Bhusan K. Kuntal and Sharmila S. Mande (DOI:10.1007/s12038-019-9933-z; Vol. 44, Article No. 119), affiliation 3 for Bhusan K. Kuntal was incorrectlymentioned as ‘‘Academy of Scientific and Innovative Research, CSIR-National Chemical Laboratory Campus,Pune 411008, India’’. The correct affiliation should read as ‘‘Academy of Scientific and Innovative Research(AcSIR), Ghaziabad 201 002, India’’.