There is an avalanche of biomedical data generation and a parallel expansion in
computational capabilities to analyze and make sense of these data. Starting with genome …

Histone variants represent chromatin components that diversify the structure and function of
the genome. The variants of H2A, primarily H2A. X, H2A. Z and macroH2A, are well …

To improve the understanding of chemo-refractory high-grade serous ovarian cancers
(HGSOCs), we characterized the proteogenomic landscape of 242 (refractory and sensitive) …

Despite implementing hundreds of strategies, cancer drug development suffers from a 95%
failure rate over 30 years, with only 30% of approved cancer drugs extending patient …

Proteogenomics refers to the integration of comprehensive genomic, transcriptomic, and
proteomic measurements from the same samples with the goal of fully understanding the …

Large-scale studies of human proteomes have revealed only a moderate correlation
between mRNA and protein abundances. It is unclear to what extent this moderate …

Pathway analysis methods are frequently applied to cancer gene expression data to identify
dysregulated pathways. These methods often infer pathway activity based on the expression …

Deep proteomics profiling using labeled LC-MS/MS experiments has been proven to be
powerful to study complex diseases. However, due to the dynamic nature of the discovery …

Genomics plays an essential role in the early detection, classification, and targeted cancer
therapy based on the analysis of precise alterations at the molecular level. Using the most …

We performed total RNA sequencing and multi-omics analysis comparing skeletal muscle
and cardiac muscle in young adult (4 months) vs. early aging (20 months) mice to examine …