01322nas a2200121   4500008004100000245004200041210004200083490000700125520094700132100002301079700002401102856007401126       2019                        eng d00aVisual exploration of microbiome data0 aVisual exploration of microbiome data0 v443 a<p>A dramatic increase in large-scale cross-sectional and temporal-level metagenomic experiments has led to an improved understanding of the microbiome and its role in human well-being. Consequently, a plethora of analytical methods has been developed 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-friendly visualization methods and frameworks is necessary to analyze this data and infer taxonomic and functional patterns corresponding to a phenotype. Thus, new methods as well as application of pre-existing ones has gained importance in recent times pertaining to the huge volume of the generated microbiome data. In this reveiw, we present a brief overview of some useful visualization techniques that have significantly enriched microbiome data analytics.</p>
1 aKuntal, Bhusan, K.1 aMande, Sharmila, S.  uhttps://library.ncl.res.in/content/visual-exploration-microbiome-data01084nas a2200157   4500008004100000022001400041245006200055210005800117260000800175300000800183490000700191520059100198100002300789700002400812856009000836       2020                        eng d  a0250-599100aVisual exploration of microbiome data (vol 44, 119, 2019)0 aVisual exploration of microbiome data vol 44 119 2019  cOCT  a1340 v453 a<p>In the October 2019 Special Issue of theJournal of Bioscienceson Current Trends in Microbiome Research, in the Review 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 incorrectly mentioned 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''.</p>
1 aKuntal, Bhusan, K.1 aMande, Sharmila, S.  uhttps://library.ncl.res.in/content/visual-exploration-microbiome-data-vol-44-119-2019