PT  - JOURNAL ARTICLE
AU  - David S. White
AU  - Marcel P. Goldschen-Ohm
AU  - Randall H. Goldsmith
AU  - Baron Chanda
TI  - High-Throughput Single-Molecule Analysis via Divisive Segmentation and Clustering
AID  - 10.1101/603761
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 603761
4099  - http://biorxiv.org/content/early/2019/04/09/603761.short
4100  - http://biorxiv.org/content/early/2019/04/09/603761.full
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.