SMoLR: visualization and analysis of single-molecule localization microscopy data in R.

Maarten W PaulH Martijn de GruiterZhanmin LinWilly M BaarendsWiggert A van CappellenAdriaan B HoutsmullerJohan A Slotman

Published in: BMC bioinformatics (2019)

Embedded in the extensive R programming environment, SMoLR allows scientists to study the nanoscale organization of biomolecules in cells by extracting and visualizing quantitative information and hence provides insight in a wide-variety of different biological processes at the single-molecule level.

Keyphrases

single molecule
atomic force microscopy
living cells
induced apoptosis
cell cycle arrest
electronic health record
big data
healthcare
oxidative stress
signaling pathway
health information
endoplasmic reticulum stress
cell proliferation
deep learning
data analysis
electron microscopy
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