Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Curtis G Callan

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
Proceedings of the National Academy of Sciences of the United States of America|January 17, 2023
Measures of epitope binding degeneracy from T cell receptor repertoiresAndreas Mayer, Curtis G Callan
Proceedings of the National Academy of Sciences of the United States of America|August 23, 2008
Information flow and optimization in transcriptional regulationGasper Tkacik, Curtis G Callan, William Bialek
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 4, 2008
Information capacity of genetic regulatory elementsGasper Tkacik, Curtis G Callan, William Bialek
Proceedings of the National Academy of Sciences of the United States of America|January 2, 2007
Precise physical models of protein-DNA interaction from high-throughput dataJustin B Kinney, Gasper Tkacik, Curtis G Callan
Proceedings of the National Academy of Sciences of the United States of America|August 30, 2008
Energy-dependent fitness: a quantitative model for the evolution of yeast transcription factor binding sitesVille Mustonen, Justin Kinney, Curtis G Callan, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 19, 2012
Statistical inference of the generation probability of T-cell receptors from sequence repertoiresAnand Murugan, Thierry Mora, Aleksandra M Walczak, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2010
Maximum entropy models for antibody diversityThierry Mora, Aleksandra M Walczak, William Bialek, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 5, 2010
Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequenceJustin B Kinney, Anand Murugan, Curtis G Callan, et al.
Immunological Reviews|June 27, 2018
Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombinationYuval Elhanati, Zachary Sethna, Curtis G Callan, et al.
Bioinformatics (Oxford, England)|January 19, 2019
OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifsZachary Sethna, Yuval Elhanati, Curtis G Callan, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Proceedings of the National Academy of Sciences of the United States of America|January 17, 2023
Measures of epitope binding degeneracy from T cell receptor repertoiresAndreas Mayer, Curtis G Callan
Proceedings of the National Academy of Sciences of the United States of America|August 23, 2008
Information flow and optimization in transcriptional regulationGasper Tkacik, Curtis G Callan, William Bialek
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 4, 2008
Information capacity of genetic regulatory elementsGasper Tkacik, Curtis G Callan, William Bialek
Proceedings of the National Academy of Sciences of the United States of America|January 2, 2007
Precise physical models of protein-DNA interaction from high-throughput dataJustin B Kinney, Gasper Tkacik, Curtis G Callan
Proceedings of the National Academy of Sciences of the United States of America|August 30, 2008
Energy-dependent fitness: a quantitative model for the evolution of yeast transcription factor binding sitesVille Mustonen, Justin Kinney, Curtis G Callan, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 19, 2012
Statistical inference of the generation probability of T-cell receptors from sequence repertoiresAnand Murugan, Thierry Mora, Aleksandra M Walczak, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2010
Maximum entropy models for antibody diversityThierry Mora, Aleksandra M Walczak, William Bialek, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 5, 2010
Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequenceJustin B Kinney, Anand Murugan, Curtis G Callan, et al.
Immunological Reviews|June 27, 2018
Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombinationYuval Elhanati, Zachary Sethna, Curtis G Callan, et al.
Bioinformatics (Oxford, England)|January 19, 2019
OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifsZachary Sethna, Yuval Elhanati, Curtis G Callan, et al.
Pageof 2