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Bioinformatics (Oxford, England)|May 25, 2024
SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive modelsKetrin Gjoni, Katherine S PollardThe Journals of Gerontology. Series B, Psychological Sciences and Social Sciences|November 25, 1998
Social support among unmarried childless elderly personsZ Wu, M S PollardNature Communications|July 29, 2024
Exploring the roles of RNAs in chromatin architecture using deep learningShuzhen Kuang, Katherine S PollardAnnual Review of Genetics|September 7, 2022
Enhancer Function and Evolutionary Roles of Human Accelerated RegionsSean Whalen, Katherine S PollardCell|August 28, 2016
Toward Accurate and Quantitative Comparative MetagenomicsStephen Nayfach, Katherine S PollardGenome Research|January 9, 2019
Most chromatin interactions are not in linkage disequilibriumSean Whalen, Katherine S PollardBiorxiv : the Preprint Server for Biology|November 14, 2023
Exploring the Roles of RNAs in Chromatin Architecture Using Deep LearningShuzhen Kuang, Katherine S PollardBiorxiv : the Preprint Server for Biology|November 14, 2023
SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive modelsKetrin Gjoni, Katherine S PollardProceedings of the National Academy of Sciences of the United States of America|January 20, 2019
Chromatin features constrain structural variation across evolutionary timescalesGeoff Fudenberg, Katherine S PollardGenome Biology|April 9, 2015
Average genome size estimation improves comparative metagenomics and sheds light on the functional ecology of the human microbiomeStephen Nayfach, Katherine S PollardPageof 106