Software used in "Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model"
Authors/Creators
- 1. Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA; Department of Physics, University of Maryland, College Park, MD 20742, USA
- 2. Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA
- 3. Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA; Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), CONICET-Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, C1428EGA, Buenos Aires, Argentina
- 4. Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA; Institute of Biomedicine, University of Eastern Finland, Kuopio, PO Box 1627, FI-70211 Kuopio, Finland
- 5. Department of Physics, University of Maryland, College Park, MD 20742, USA; Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA
- 6. Department of Physics, University of Maryland, College Park, MD 20742, USA; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA
Description
This contains single-molecule tracking and dwell time analysis software and example datasets used in the paper:
"Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model." Nucleic acids research 49, no. 12 (2021): 6605-6620.
The zip file contains:
MatlabTrack_v6 – Single-molecule tracking program
Analysis_scripts – MATLAB scripts for estimating photobleaching rate and computing photobleaching-corrected survival probability distributions
Sample_Data – Example H2B and transcription factor (TF) data
User manual
User manual can be found in the source publication.
Link to the original GitHub upload: https://github.com/davidalejogarcia/PL_HagerLab
License
GNU GENERAL PUBLIC LICENSE
Files
PL_HagerLab-main.zip
Files
(1.3 MB)
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