Published June 21, 2018
| Version v1
Journal article
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Imaging dynamic and selective low-complexity domain interactions that control gene transcription
Authors/Creators
- 1. Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA; Howard Hughes Medical Institute, University of California, Berkeley, CA, USA.
- 2. Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA; CIRM Center of Excellence, University of California, Berkeley, CA, USA.
- 3. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
- 4. Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.
- 5. Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA; Howard Hughes Medical Institute, University of California, Berkeley, CA, USA; CIRM Center of Excellence, University of California, Berkeley, CA, USA.
Description
These codes analyze single particle tracking (SPT) data, classify in-puncta and out-of-puncta trajectories, and calculate residence time.
Notes
This work was supported by California Institute of Regenerative Medicine grant LA1-08013 (to X.D.), NIH grants UO1-EB021236 and U54-DK107980 (to X.D.), and the Howard Hughes Medical Institute (to Z.L., L.L., and R.T.).
Files
CodeFor2018SciencePaper-master.zip
Additional details
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- Is published in
- Peer review: 10.1126/science.aar2555 (DOI)