DNA hybridization arrays simultaneously measure the expression level for thousands of genes.
These measurements provide a “snapshot” of transcription levels within the cell. A major …

Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be annotated …

Self-supervised deep language modeling has shown unprecedented success across natural
language tasks, and has recently been repurposed to biological sequences. However, …

Background A major bottleneck in our understanding of the molecular underpinnings of life
is the assignment of function to proteins. While molecular experiments provide the most …

Natural language processing (NLP) is a field of computer science concerned with automated
text and language analysis. In recent years, following a series of breakthroughs in deep …

Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global,
community-driven effort to evaluate and improve the computational annotation of protein …

The central role of transport proteins in cell physiology and disease has been experimentally
demonstrated during the past decade. The cloning of genes coding for proteins involved in …

Viruses differ markedly in their specificity toward host organisms. Here, we test the level of
general sequence adaptation that viruses display toward their hosts. We compiled a …

With many genomes now sequenced, computational annotation methods to characterize
genes and proteins from their sequence are increasingly important. The BioSapiens Network …

The COVID-19 disease has plagued over 200 countries with over three million cases and has
resulted in over 200,000 deaths within 3 months. To gain insight into the high infection rate …