Human microbiome visualization using 3D technology.
High-throughput sequencing technology has opened the door to the study of the human microbiome and its relationship with health and disease. This is both an opportunity and a significant biocomputing challenge. We present here a 3D visualization methodology and freely-available software package for facilitating the exploration and analysis of high-dimensional human microbiome data. Our visualization approach harnesses the power of commercial video game development engines to provide an interactive medium in the form of a 3D heat map for exploration of microbial species and their relative abundance in different patients. The advantage of this approach is that the third dimension provides additional layers of information that cannot be visualized using a traditional 2D heat map. We demonstrate the usefulness of this visualization approach using microbiome data collected from a sample of premature babies with and without sepsis.
Institute for Quantitative Biomedical Sciences, Department of Genetics, Dartmouth Medical School, Lebanon, NH 03756, USA. jason.h.moore@dartmouth.edu
Jason H
JH
Moore
Richard Cowper Sal
RC
Lari
Douglas
D
Hill
Patricia L
PL
Hibberd
Juliette C
JC
Madan
D019295:Computational Biology; D003196:Computer Graphics; D059014:High-Throughput Nucleotide Sequencing / Q000706:statistics & numerical data; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data; D007231:Infant, Newborn; D007234:Infant, Premature; D054892:Metagenome / Q000235:genetics*; D018805:Sepsis / Q000382:microbiology; D012984:Software