DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data.

Background: Metabolomics is a high-throughput technology that measures small molecule metabolites in cells, tissues or biofluids. Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis. The latter step often involves pathway analysis to aid biological interpretation of the data.

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data.

A significant challenge in the analysis of omics data is extracting actionable biological knowledge. Metabolomics is no exception. The general problem of relating changes in levels of individual metabolites to specific biological processes is compounded by the large number of unknown metabolites present in untargeted liquid chromatography-mass spectrometry (LC-MS) studies.

Application of Differential Network Enrichment Analysis for Deciphering Metabolic Alterations.

Modern analytical methods allow for the simultaneous detection of hundreds of metabolites, generating increasingly large and complex data sets. The analysis of metabolomics data is a multi-step process that involves data processing and normalization, followed by statistical analysis. One of the biggest challenges in metabolomics is linking alterations in metabolite levels to specific biological processes that are disrupted, contributing to the development of disease or reflecting the disease state.

Interinstitutional collaboration for end-user bioinformatics training: Cytoscape as a case study.

Background: This case study describes the value of and need for interinstitutional collaboration to train biomedical researchers in data visualization, using Cytoscape network analysis software as an example. To provide training on Cytoscape software to Yale University biomedical researchers, a collaboration was formed between the Yale Harvey Cushing/John Hay Whitney Medical Library's (CWML's) biomedical sciences research support librarian and the University of Michigan (U-M) Taubman Health Sciences Library's bioinformationist, who has expertise in Cytoscape software.

Case Presentation: The U-M bioinformationist offered a webinar to the Yale community, followed by a one-day onsite workshop.

Evaluation of a library outreach program to research labs.

The goal of this study was to conduct an outcomes-based evaluation of the National Cancer Institute-Frederick (NCI-F) Scientific Library's Laptop Librarian service, where librarians took a laptop and spent time in research buildings. The authors used statistics from the Laptop Librarian sessions, a NCI-F community-wide online survey, and in-person interviews to evaluate the service. The Laptop Librarian service increased the accessibility of librarians and saved patrons' time.