The test data for FluorSimStudio Application

FluorSimStudio App provides the computational pipeline for modelling and analysis of time-resolved fluorescence decays of molecular systems with advanced data mining and simulation-based approach.

• Example 1 - Two clusters of simulated single exponential fluorescence decay curves. Download the file singleExpData.txt. Use the default parameters. Simulation parameters: lifetimes - 2 and 4 ns, the observation time window - 10 ns, the number of time channels - 256, the number of curves - 200, the number of simulated photons in the experimental curves - 500, the laser impulse function is modeled as a rectangular pulse of ~ 10^-2 the observation interval.
• Example 2 - Two clusters of simulated stretched exponential fluorescence decay curves. Download the file stratchedExpData.txt. Use the default parameters. Simulation parameters: donor lifetimes TauD = 2 ns, acceptor concentrations q = 1 and 0.2, the observation time window - 10 ns, the number of time channels - 256, the number of curves is 200, the number of simulated photons in the experimental curves - 500, the laser impulse function is modeled as a rectangular pulse of ~ 10^-2 the observation interval.

The test data for RNAexploreR Application

RNAexploreR App provides the computational pipeline for analysis and prediction of possible variants of the RNA generation based on the graph model of the organization of a gene.

• Example 1. Download the file ExonFeatures_(RUNX1-RUNX1T1 exons).txt. Use the default parameters.
• Example 2. Download the file RNA1_(Experimentaly verified RNAs RUNX1-RUNX1T1).txt.
• Example 3. Download the file RNA2_(Predicted transcripts RUNX1-RUNX1T1).txt.

Appendix to the article "Mikalai M. Yatskou, Victor V. Skakun, Vasily V. Grinev. A computational approach and software package RNAexploreR for grouping RNA molecules of human genes by the exon features. Informatics, 2019, vol. 16, no. 4, pp. 7-31.
Download or preview the file Yatskou_Informatics_2019_Appendix.pdf