PT  - JOURNAL ARTICLE
AU  - Kaur, Sandeep
AU  - Peters, Timothy J.
AU  - Yang, Pengyi
AU  - Luu, Laurence Don Wai
AU  - Vuong, Jenny
AU  - Krycer, James R.
AU  - O’Donoghue, Seán I.
TI  - Temporal ordering of omics and multiomic events inferred from time series data
AID  - 10.1101/2020.04.14.040527
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.04.14.040527
4099  - http://biorxiv.org/content/early/2020/04/14/2020.04.14.040527.short
4100  - http://biorxiv.org/content/early/2020/04/14/2020.04.14.040527.full
AB  - 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.Competing Interest StatementThe authors have declared no competing interest.