Justin B. Kinney
My research combines theory, computation, and experiment in an effort to better understand quantitative sequence-function relationships in molecular biology. I am particularly interested in deciphering the biophysical mechanisms of transcriptional regulation using the quantitative modeling of data produced by Sort-Seq and other massively parallel assays. I also devote much of my effort to developing new methods in statistics and machine learning.
The Kinney Lab is looking to hire a talented and motivated Postdoctoral Fellow to participate in one of a variety of mathematical, computational, and experimental projects focused on using ultra-high-throughput DNA sequencing to measure and model quantitative sequence-function relationships. Applicants with PhD-level experience in physics, computer science, statistics, machine learning, molecular biology, and/or biochemistry are encouraged apply. Applicants should email Dr. Kinney directly at jkinney@cshl.edu.
Click here for a complete list of publications.
- Ireland WT, Kinney JB.
MPAthic: quantitative modeling of sequence-function relationships for massively parallel assays.
bioRxiv doi: http://dx.doi.org/10.1101/054676 (2016). - Morrison MJ, Kinney JB.
Modeling multi-particle complexes in stochastic chemical systems.
bioRxiv doi: http://dx.doi.org/10.1101/045435 (2016). - Adams RM, Kinney JB*, Mora T*, Walczak AM*. (*equal contribution)
Measuring the sequence-affinity landscape of antibodies with massively parallel titration curves.
bioRxiv doi: http://dx.doi.org/10.1101/036335 (2016). - Atwal G, Kinney JB.
Learning quantitative sequence-function relationships from massively parallel experiments.
J Stat Phys 162(5):1203-1243 (2016). Open Access. - Kinney JB.
Unification of field theory and maximum entropy methods for learning probability densities.
Phys Rev E 92:032107 (2015). Open Access. - Kinney JB, Atwal GS.
Equitability, mutual information, and the maximal information coefficient.
Proc Natl Acad Sci USA 111(9):3354-3359 (2014). Open Access. - Kinney JB, Murugan A, Callan CG, Cox EC.
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.