Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

The field of machine learning, which aims to develop computer algorithms that improve with
experience, holds promise to enable computers to assist humans in the analysis of large …

Tissue and cell-type identity lie at the core of human physiology and disease. Understanding
the genetic underpinnings of complex tissues and individual cell lineages is crucial for …

High-throughput DNA sequencing has proven invaluable for investigating diverse
environmental and host-associated microbial communities. In this Review, we discuss …

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

Motivation: The continued progress in developing technological platforms, availability of
many published experimental datasets, as well as different statistical methods to analyze …

Interpreting the effects of genetic variants is key to understanding individual susceptibility to
disease and designing personalized therapeutic approaches. Modern experimental …

Rapid technological advances have led to the production of different types of biological data
and enabled construction of complex networks with various types of interactions between …

Network “guilt by association”(GBA) is a proven approach for identifying novel disease
genes based on the observation that similar mutational phenotypes arise from functionally …

High-throughput gene expression analysis has become a frequent and powerful research
tool in biology. At present, however, few software applications have been developed for …