Apr 14, 2020

Temporal ordering of omics and multiomic events inferred from time series data

BioRxiv : the Preprint Server for Biology
S. KaurSeán I. O'Donoghue

Abstract

Temporal changes in omics events can now be routinely measured, however current analysis methods are often inadequate, especially for multiomics experiments. We report a novel analysis method that can infer event ordering at better temporal resolution than the experiment, and integrates omic events into two concise visualizations (event maps and sparklines). Testing our method gave results well-correlated with prior knowledge and indicated it streamlines analysis of time-series data.

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Mentioned in this Paper

Genome
Tuberculosis
Pathogenic Organism
Genomic Stability
Persons
Genomics
Disease Transmission
Latent Tuberculosis
Epidemiology
Mycobacterium tuberculosis

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