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Identifying and Tracking Low-Frequency Virus-Specific TCR Clonotypes Using High-Throughput Sequencing
TLDR
Using high-throughput TCR sequencing, a database of TCRβ sequences from large cohorts of mice before (naive) and after smallpox vaccination is developed and it is determined that the VATS library contains virus-responsive TCRs by in vitro expansion assays and virus-specific tetramer sorting. Expand
Heterogeneous rates of genome rearrangement contributed to the disparity of species richness in Ascomycota
TLDR
These findings provide a plausible explanation for the species disparity among Ascomycota lineages, which will be valuable to unravel the underlying causes for the huge disparity of species richness in various taxonomic groups. Expand
Parallel Concerted Evolution of Ribosomal Protein Genes in Fungi and Its Adaptive Significance
Ribosomal proteins (RPs) genes encode structure components of ribosomes, the cellular machinery for protein synthesis. A single functional copy has been maintained in most of 78-80 RP families inExpand
iCAT: diagnostic assessment tool of immunological history using high-throughput T-cell receptor sequencing
The pathogen exposure history of an individual is recorded in their T-cell repertoire and can be accessed through the study of T-cell receptors (TCRs) if the tools to identify them were available.Expand
Diagnostic differentiation of Zika and dengue virus exposure by analyzing T cell receptor sequences from peripheral blood of infected HLA-A2 transgenic mice
TLDR
This study has utilized a novel T cell receptor (TCR) sequencing platform and demonstrates the potential for this innovative platform to be used to accurately diagnose Zika virus infection and potentially the next emerging pathogen(s). Expand
Parallel Concerted Evolution of Ribosomal Protein Genes in Fungi and Its Adaptive Significance
Abstract Ribosomal protein (RP) genes encode structural components of ribosomes, the cellular machinery for protein synthesis. A single functional copy has been maintained in most of 78–80 RPExpand
MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning
TLDR
MegaR, an R Shiny package and web application, is introduced to build an unbiased machine learning model effortlessly with interactive visual analysis that can be used to achieve the highest prediction accuracy possible for any given dataset while still maintaining a user-friendly experience. Expand
Correction for Liu et al., Complete Plastome Sequence of Ludwigia octovalvis (Onagraceae), a Globally Distributed Wetland Plant
Volume 4, no. 6, e01274-16, 2016, [https://doi.org/10.1128/genomeA.01274-16][1]. Page 1: The byline and affiliation line should read as given above. Page 1: Lines 3 and 4 of the AcknowledgmentsExpand