Principal Investigator
Justin B. Kinney
Assistant Professor
Simons Center for Quantitative Biology
Cold Spring Harbor Laboratory
PhD, Princeton, 2008; CV
jkinney@cshl.edu
The Kinney Lab pursues an integrated combination of experiment, computation, and theory focused on problems in molecular biophysics, machine learning, and the study of sequence-function relationships. We are part of the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory.
April 2018: Our density estimation software package, SUFTware , is live! So is our preprint. Congrats to Wei-Chia and Ammar for their excellent and tireless work on this project.
February 2018: Anna Posfai will be joining in April 2018 as a postdoc working jointly in the Kinney Lab and the McCandlish Lab!
Click here for a complete list of publications.
Density estimation on small datasets.
arXiv:1804.01932 [physics.data-an] (2018).
Measuring the sequence-affinity landscape of antibodies with massively parallel titration curves.
eLife 2016;5:e23156 (2016). Open Access.
(*Equal contribution)
Learning quantitative sequence-function relationships from massively parallel experiments.
J Stat Phys 162(5):1203-1243 (2016). Open Access.
Unification of field theory and maximum entropy methods for learning probability densities.
Phys Rev E 92:032107 (2015). Open Access.
Equitability, mutual information, and the maximal information coefficient.
Proc Natl Acad Sci USA 111(9):3354-3359 (2014). Open Access.
Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence.
Proc Natl Acad Sci USA 107(20):9158-9163 (2010). Open Access.