RT Journal Article
SR Electronic
T1 Temporal ordering of omics and multiomic events inferred from time series data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.04.14.040527
DO 10.1101/2020.04.14.040527
A1 Kaur, Sandeep
A1 Peters, Timothy J.
A1 Yang, Pengyi
A1 Luu, Laurence Don Wai
A1 Vuong, Jenny
A1 Krycer, James R.
A1 O’Donoghue, Seán I.
YR 2020
UL http://biorxiv.org/content/early/2020/04/14/2020.04.14.040527.abstract
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.