Understanding antibody-based SARS-CoV-2 immunity is critical for overcoming the COVID-19
pandemic and informing vaccination strategies. We evaluated SARS-CoV-2 antibody …

Recombinant vesicular stomatitis virus–Zaire Ebola virus (rVSV-ZEBOV) is the most advanced
Ebola virus vaccine candidate and is currently being used to combat the outbreak of …

Modern exact algorithms for structure learning in Bayesian networks first compute an exact
local score of every candidate parent set, and then find a network structure by combinatorial …

Human immunodeficiency virus type 1 (HIV-1)-neutralizing antibodies (nAbs) that prevent
infection are the main goal of HIV vaccine discovery. But as no nAb-eliciting vaccines are yet …

Background Statistical modeling of transcription factor binding sites is one of the classical
fields in bioinformatics. The position weight matrix (PWM) model, which assumes statistical …

The identification and isolation of highly infectious SARS-CoV-2-infected individuals is an
important public health strategy. Rapid antigen detection tests (RADT) are promising tools for …

Advanced age is a key risk factor for morbidity and mortality asso ciated with SARS-CoV-2
infection. Therefore, older adults have generally been prioritised for COVID-19 vaccination. …

The binding affinity of DNA-binding proteins such as transcription factors is mainly determined
by the base composition of the corresponding binding site on the DNA strand. Most …

The binding motifs of many transcription factors (TFs) comprise a higher degree of complexity
than a single position weight matrix model permits. Additional complexity is typically taken …

Recent studies have shown that the traditional position weight matrix model is often
insufficient for modeling transcription factor binding sites, as intra-motif dependencies play a …