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lasertrapr

Lifecycle: experimental

The goal of lasertrapr is to automate the analysis of laser trap data. The app is still being heavily developed, end-users should proceed with caution. For more information and the official documentation refer to the website.

Several peer-reviewed research articles have used either this app for some analyses or prior versions of the codebase:

  1. FRET and optical trapping reveal mechanisms of actin activation of the power stroke and phosphate release in myosin V

  2. A mutation in switch I alters the load-dependent kinetics of myosin Va

  3. Myosin's powerstroke occurs prior to the release of phosphate from the active site

  4. Positional Isomers of a Non-Nucleoside Substrate Differentially Affect Myosin Function

  5. Modeling thick filament activation suggests a molecular basis for force depression

  6. Characterizing the concentration and load dependence of phosphate binding to rabbit fast skeletal actomyosin

  7. Danicamtiv reduces myosin’s working stroke but activates the thin filament by accelerating actomyosin attachment

Installation

Current stable version will be hosted on my drat repo. Note, this will install a very old version from 2022.

# install.packages("drat")
drat::addRepo("brentscott93")
install.packages("lasertrapr")

You can install the most recent developmental version of lasertrapr from GitHub with:

# install.packages("devtools")
devtools::install_github("brentscott93/lasertrapr")

Note: This will install a random snapshot from my last commit. A new more recent "drat" version will be added soon.

We are in the process of submitting for publication. After reviewer recommended changes are made we can make a stable release in the "drat" repository.

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Automated analysis of laser trap data

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