{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhao Y"],"funding":["NIDCR NIH HHS","NCI NIH HHS","National Institutes of Health","NIGMS NIH HHS","National Institutes of Heath"],"pagination":["76"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8006385"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(1)"],"pubmed_abstract":["<h4>Background</h4>Microbial communities that live in and on the human body play a vital role in health and disease. Recent advances in sequencing technologies have enabled the study of microbial communities at unprecedented resolution. However, these advances in data generation have presented novel challenges to researchers attempting to analyze and visualize these data.<h4>Results</h4>To address some of these challenges, we have developed animalcules, an easy-to-use interactive microbiome analysis toolkit for 16S rRNA sequencing data, shotgun DNA metagenomics data, and RNA-based metatranscriptomics profiling data. This toolkit combines novel and existing analytics, visualization methods, and machine learning models. For example, the toolkit features traditional microbiome analyses such a"],"journal":["Microbiome"],"pubmed_title":["animalcules: interactive microbiome analytics and visualization in R."],"pmcid":["PMC8006385"],"funding_grant_id":["U01CA220413","U01 CA220413","R21 CA260382","R01 GM127430","F31 DE029701"],"pubmed_authors":["Segre D","Faits T","Federico A","Monti S","Manimaran S","Johnson WE","Zhao Y"],"additional_accession":[]},"is_claimable":false,"name":"animalcules: interactive microbiome analytics and visualization in R.","description":"<h4>Background</h4>Microbial communities that live in and on the human body play a vital role in health and disease. Recent advances in sequencing technologies have enabled the study of microbial communities at unprecedented resolution. However, these advances in data generation have presented novel challenges to researchers attempting to analyze and visualize these data.<h4>Results</h4>To address some of these challenges, we have developed animalcules, an easy-to-use interactive microbiome analysis toolkit for 16S rRNA sequencing data, shotgun DNA metagenomics data, and RNA-based metatranscriptomics profiling data. This toolkit combines novel and existing analytics, visualization methods, and machine learning models. For example, the toolkit features traditional microbiome analyses such a","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Mar","modification":"2026-07-09T11:33:00.512Z","creation":"2026-07-09T10:49:46.884Z"},"accession":"S-EPMC8006385","cross_references":{"pubmed":["33775256"],"doi":["10.1186/s40168-021-01013-0"]}}