Genome-wide association studies and other discovery genetics methods provide a means
to identify previously unknown biological mechanisms underlying behavioral disorders that …

Background Integrating and analyzing heterogeneous genome-scale data is a huge algorithmic
challenge for modern systems biology. Bipartite graphs can be useful for representing …

High-throughput genome technologies have produced a wealth of data on the association
of genes and gene products to biological functions. Investigators have discovered value in …

Background The current criteria for alcohol use disorders (AUDs) do not include consumption
(quantity/frequency) measures of alcohol intake, in part due to the difficulty of these …

Background Understanding mechanisms underlying specific chemotherapeutic responses
in subtypes of cancer may improve identification of treatment strategies most likely to benefit …

Risk perception and consequently engagement in behaviors to avoid illness often do not
match actual risk of infection, morbidity, and mortality. Unrealistic optimism occurs when …

Background The Monkey Alcohol Tissue Research Resource (MATRR) is a repository and
analytics platform for detailed data derived from well‐documented nonhuman primate (NHP) …

Background Modern biological research makes possible the comprehensive study and
development of heritable mutations in the mouse model at high-throughput. Using techniques …

Motivation Classification by supervised machine learning greatly facilitates the annotation of
protein characteristics from their primary sequence. However, the feature generation step in …

A persistent challenge lies in the interpretation of consensus and discord from functional
genomics experimentation. Harmonizing and analyzing this data will enable investigators to …