5 Works

Data from: Mapping polyclonal HIV-1 antibody responses via next-generation neutralization fingerprinting

Nicole A. Doria-Rose, Han R. Altae-Tran, Ryan S. Roark, Stephen D. Schmidt, Matthew S. Sutton, Mark K. Louder, Gwo-Yu Chuang, Robert T. Bailer, Valerie Cortez, Rui Kong, Krisha McKee, Sijy O'Dell, Felicia Wang, Salim S. Abdool Karim, James M. Binley, Mark Connors, Barton F. Haynes, Malcolm A. Martin, David C. Montefiori, Lynn Morris, Julie Overbaugh, Peter D. Kwong, John R. Mascola, Ivelin S. Georgiev & Sijy O’Dell
Computational neutralization fingerprinting, NFP, is an efficient and accurate method for predicting the epitope specificities of polyclonal antibody responses to HIV-1 infection. Here, we present next-generation NFP algorithms that substantially improve prediction accuracy for individual donors and enable serologic analysis for entire cohorts. Specifically, we developed algorithms for: (a) selection of optimized virus neutralization panels for NFP analysis, (b) estimation of NFP prediction confidence for each serum sample, and (c) identification of sera with potentially...

Data from: Caenorhabditis elegans genes affecting interindividual variation in life-span biomarker gene expression

Alexander Mendenhall, Matthew M. Crane, Patricia M. Tedesco, Thomas E. Johnson & Roger Brent
Genetically identical organisms grown in homogenous environments differ in quantitative phenotypes. Differences in one such trait, expression of a single biomarker gene, can identify isogenic cells or organisms that later manifest different fates. For example, in isogenic populations of young adult Caenorhabditis elegans, differences in Green Fluorescent Protein (GFP) expressed from the hsp-16.2 promoter predict differences in life span. Thus, it is of interest to determine how interindividual differences in biomarker gene expression arise. Prior...

Data from: Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling

C. Gustavo Pesce, William J. Peria, Stefan Zdraljevic, Daniel Rockwell, Richard C. Yu, Alejandro Colman-Lerner, Roger Brent, Alan Bush & María Victoria Repetto
Populations of isogenic cells often respond coherently to signals, despite differences in protein abundance and cell state. Previously, we uncovered processes in the Saccharomyces cerevisiae pheromone response system (PRS) that reduced cell‐to‐cell variability in signal strength and cellular response. Here, we screened 1,141 non‐essential genes to identify 50 “variability genes”. Most had distinct, separable effects on strength and variability of the PRS, defining these quantities as genetically distinct “axes” of system behavior. Three genes affected...

Data from: Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals

Mathieu Fourment, Brian C. Claywell, Vu Dinh, Connor McCoy, & Aaron E. Darling
Modern infectious disease outbreak surveillance produces continuous streams of sequence data which require phylogenetic analysis as data arrives. Current software packages for Bayesian phylogenetic inference are unable to quickly incorporate new sequences as they become available, making them less useful for dynamically unfolding evolutionary stories. This limitation can be addressed by applying a class of Bayesian statistical inference algorithms called sequential Monte Carlo (SMC) to conduct online inference, wherein new data can be continuously incorporated...

Data from: Genome-wide evolutionary dynamics of influenza B viruses on a global scale

Pinky Langat, Jayna Raghwani, Gytis Dudas, Thomas A. Bowden, Stephanie Edwards, Astrid Gall, Trevor Bedford, Andrew Rambaut, Rodney S. Daniels, Colin A. Russell, Oliver G. Pybus, John McCauley, Paul Kellam & Simon J. Watson
The global-scale epidemiology and genome-wide evolutionary dynamics of influenza B remain poorly understood compared with influenza A viruses. We compiled a spatio-temporally comprehensive dataset of influenza B viruses, comprising over 2,500 genomes sampled worldwide between 1987 and 2015, including 382 newly-sequenced genomes that fill substantial gaps in previous molecular surveillance studies. Our contributed data increase the number of available influenza B virus genomes in Europe, Africa and Central Asia, improving the global context to study...

Registration Year

  • 2017

Resource Types

  • Dataset


  • Fred Hutchinson Cancer Research Center
  • University of Washington
  • National Institutes of Health
  • University of Buenos Aires
  • Columbia University
  • Northwestern University
  • Duke University
  • University of Cambridge
  • Duke University School of Medicine
  • University of Edinburgh