Advances in the technologies and informatics used to generate and process large biological
data sets (omics data) are promoting a critical shift in the study of biomedical sciences. While …

Characterizing the structure of knowledge, the evolution of research topics, and the
emergence of topics has always been an important part of information science (IS). Our …

Enrichment analysis, crucial for interpreting genomic, transcriptomic, and proteomic data, is
expanding into metabolomics. Furthermore, there is a rising demand for integrated …

WebGestalt is a popular tool for the interpretation of gene lists derived from large scale-
omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers …

Pathway enrichment analysis helps researchers gain mechanistic insight into gene lists
generated from genome-scale (omics) experiments. This method identifies biological …

Proteins circulating in the blood are critical for age-related disease processes; however, the
serum proteome has remained largely unexplored. To this end, 4137 proteins covering most …

Abstract N 6-methyladenosine (m6A) is the most common and abundant messenger RNA
modification, modulated by 'writers','erasers' and 'readers' of this mark,. In vitro data have …

Functional enrichment analysis has played a key role in the biological interpretation of high-
throughput omics data. As a long-standing and widely used web application for functional …

A repeat expansion in the C9orf72 (C9) gene is the most common genetic cause of
amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Here we investigate …

Deep phenoty** has been defined as the precise and comprehensive analysis of
phenotypic abnormalities in which the individual components of the phenotype are observed …