Published July 9, 2021 | Version v1
Software Open

Software used in "Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model"

  • 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

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