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Dataset . 2021
License: CC BY
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Dataset . 2021
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Dataset . 2021
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Data and code for "Tweezepy: A Python package for calibrating forces in single-molecule video-tracking instruments"

Research datakeyboard_double_arrow_right Dataset 14 Jun 2021 English Publisher:ZenodoFunded by:NSF | NSF/MCB BSF: Direct Force...
Authors: Morgan, Ian L;

doi: 10.5281/zenodo.4948543 , 10.5281/zenodo.5606431 , 10.5281/zenodo.4948542

Data and code for "Tweezepy: A Python package for calibrating forces in single-molecule video-tracking instruments"

Abstract

Data and code for "Tweezepy: A Python package for calibrating forces in single-molecule video-tracking instruments." Data includes representative real and simulated bead trajectories used in the manuscript. Code includes all simulations, analysis, and plot details for the Figures in the manuscript. See included README.txt for more details.

All bead trajectory data is in nms.

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Keywords

single-molecule force spectroscopy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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