Analyzing the microbiome of diverse species and environments using next-generation
sequencing techniques has significantly enhanced our understanding on metabolic …

Over the past decade, we have observed a massive increase in the amount of information
describing protein sequences from a variety of organisms. 1, 2 While this may reflect the …

To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective
and safe vaccine against this highly contagious disease caused by the SARS-CoV-2 …

In the field of artificial intelligence, a combination of scale in data and model capacity
enabled by unsupervised learning has led to major advances in representation learning and …

Whole exome sequencing has been increasingly used in human disease studies.
Prioritization based on appropriate functional annotations has been used as an …

We present a major update of the HOCOMOCO collection that consists of patterns
describing DNA binding specificities for human and mouse transcription factors. In this …

Gymnosperms are a unique lineage of plants that currently lack a high-quality reference
genome due to their large genome size and high repetitive sequence content. Here, we …

Motivation Protein function prediction is one of the major tasks of bioinformatics that can help
in wide range of biological problems such as understanding disease mechanisms or finding …

Genomics, epigenomics, transcriptomics, proteomics and metabolomics efforts rapidly
generate a plethora of data on the activity and levels of biomolecules within mammalian …

The practical application of nanoparticles (NPs) as chemotherapeutic drug delivery systems
is often hampered by issues such as poor circulation stability and targeting inefficiency …