Giter VIP home page Giter VIP logo

easyfrap's Introduction

easyFRAP

EasyFRAP assists quantitative and qualitative analysis of FRAP data. The user can handle simultaneously large datasets of raw data, visualize fluorescence recovery curves, exclude low quality data, perform data normalization, extract quantitative parameters, perform batch analysis and save the resulting data and figures for further analysis. EasyFRAP is implemented as a single-screen Graphical User Interface and is highly interactive, as it permits parameterization and visual data quality assessment at various points in the analysis. EasyFRAP was developed by the Cell Cycle Lab of the University of Patras and is free software, available under the General Public License version 3 (GPL v3).

For updates regularly check out our lab's webpage!

If you use our tool please cite:

Rapsomaniki MA, Kotsantis P, Symeonidou IE, Giakoumakis NN, Taraviras S and Lygerou Z (2012). easyFRAP: an interactive, easy-to-use tool for qualitative and quantitative analysis of Fluorescence Recovery After Photobleaching data. Bioinformatics. 28(13):1800-1801 (https://doi.org/10.1093/bioinformatics/bts241)

See also:

EasyFRAP-web: EasyFRAP became web-based! Visit EasyFRAP web here or read our paper:

Koulouras G, Panagopoulos A, Rapsomaniki MA, Giakoumakis NN, Taraviras S, Lygerou Z (2018). EasyFRAP-web: a web-based tool for the analysis of fluorescence recovery after photobleaching data. Nucleic Acids Research, Volume 46, Issue W1, 2 July 2018, Pages W467โ€“W472, (https://doi.org/10.1093/nar/gky508)

Stochastic modeling of FRAP experiments: For inference of kinetic parameters from FRAP data (diffusion coefficient, bound fraction and residence time) see:

Rapsomaniki MA, Cinquemani E, Giakoumakis NN, Kotsantis P, Lygeros J, & Lygerou Z (2015). Inference of protein kinetics by stochastic modeling and simulation of fluorescence recovery after photobleaching experiments. Bioinformatics, 2015 Feb 1;31(3):355-62. (https://doi.org/10.1093/bioinformatics/btu619)

easyfrap's People

Contributors

rapsoman avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.