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Nature Genetics|December 19, 2018
An evolutionary framework for measuring epigenomic information and estimating cell-type-specific fitness consequencesBrad Gulko, Adam SiepelNature Genetics|February 22, 2019
Publisher Correction: An evolutionary framework for measuring epigenomic information and estimating cell-type-specific fitness consequencesBrad Gulko, Adam SiepelNature Genetics|March 14, 2017
Fast, scalable prediction of deleterious noncoding variants from functional and population genomic dataYi-Fei Huang, Brad Gulko, Adam SiepelNature Genetics|January 20, 2015
A method for calculating probabilities of fitness consequences for point mutations across the human genomeBrad Gulko, Melissa J Hubisz, Ilan Gronau, et al.Nature Genetics|September 20, 2011
Bayesian inference of ancient human demography from individual genome sequencesIlan Gronau, Melissa J Hubisz, Brad Gulko, et al.Nature Genetics|June 11, 2013
Genome-wide inference of natural selection on human transcription factor binding sitesLeonardo Arbiza, Ilan Gronau, Bulent A Aksoy, et al.Nature Plants|February 12, 2020
An inferred fitness consequence map of the rice genomeZoé Joly-Lopez, Adrian E Platts, Brad Gulko, et al.Genome Biology|July 31, 2019
Challenges in funding and developing genomic software: roots and remediesAdam SiepelJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 3, 2004
Combining phylogenetic and hidden Markov models in biosequence analysisAdam Siepel, David HausslerPageof 12