S. D. Boyd

Ultrasensitive allele inference from immune repertoire sequencing data with MiXCR

The paper introduces an algorithm for ultra-sensitive allele inference from immune repertoire sequencing data, demonstrating its accuracy and application in diverse populations.

Germline-encoded specificities and the predictability of the B cell response

The paper investigates how germline alleles influence B cell responses to infection, showing that while they can lead to similar responses, diverse evolutionary paths limit genetic predictability.

Disease diagnostics using machine learning of immune receptors

The paper develops Mal-ID, a machine learning framework using immune receptor data to diagnose diseases, detecting infections, autoimmune disorders, and vaccine responses.

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19

This study integrates plasma proteomics and single-cell immune features to classify COVID-19 severity and identify biological signatures of disease progression.

Shared B cell memory to coronaviruses and other pathogens varies in human age groups and tissues

The paper examines age-related differences in B cell memory to coronaviruses and other pathogens across tissues and age groups, finding higher frequencies of class-switched memory B cells in children.

Exceptional diversity and selection pressure on SARS-CoV and SARS-CoV-2 host receptor in bats compared to other mammals

The paper examines selection pressure on ACE2 in bats and other mammals, finding stronger positive selection in bats and highlighting potential susceptible species for SARS-CoV and SARS-CoV-2.