RT Journal Article
SR Electronic
T1 High-Throughput Single-Molecule Analysis via Divisive Segmentation and Clustering
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 603761
DO 10.1101/603761
A1 David S. White
A1 Marcel P. Goldschen-Ohm
A1 Randall H. Goldsmith
A1 Baron Chanda
YR 2019
UL http://biorxiv.org/content/early/2019/04/09/603761.abstract
AB Single-molecule approaches provide insight into the dynamics of biomolecules, yet analysis methods have not scaled with the growing size of data sets acquired in high-throughput experiments. We present a new analysis platform (DISC) that uses divisive clustering to accelerate unsupervised analysis of single-molecule trajectories by up to three orders of magnitude with improved accuracy. Using DISC, we reveal an inherent lack of cooperativity between cyclic nucleotide binding domains from HCN pacemaker ion channels embedded in nanophotonic zero-mode waveguides.