Deep learning methods are a class of machine learning techniques capable of identifying
highly complex patterns in large datasets. Here, we provide a perspective and primer on deep …

INTRODUCTION Many complex human phenotypes, including diseases, exhibit sex-differentiated
characteristics. These sex differences have been variously attributed to hormones, …

Allelic expression analysis has become important for integrating genome and transcriptome
data to characterize various biological phenomena such as cis-regulatory variation and …

Long non-coding RNA (lncRNA) genes have well-established and important impacts on
molecular and cellular functions. However, among the thousands of lncRNA genes, it is still a …

HIV-1 infects CD4+ T cells and completes its replication cycle in approximately 24 hours.
We employed repeated measurements in a standardized cell system and rigorous …

INTRODUCTION The human genome contains tens of thousands of rare (minor allele frequency
<1%) variants, some of which contribute to disease risk. Using 838 samples with whole-…

Determining protein levels in each tissue and how they compare with RNA levels is important
for understanding human biology and disease as well as regulatory processes that control …

Regulation of transcript structure generates transcript diversity and plays an important role
in human disease 1 , 2 , 3 , 4 , 5 , 6 – 7 . The advent of long-read sequencing technologies …

The immune system plays a major role in human health and disease, and understanding
genetic causes of interindividual variability of immune responses is vital. Here, we isolate …

Allele-specific gene expression can influence disease traits. Non-coding germline genetic
variants that alter regulatory elements can cause allele-specific gene expression and …