Zhenjun Hu

TL;DR: Thousands of interactions, organized into thousands of pathways, from many organisms are available from a growing number of databases, and this large amount of pathway data in a computable form will support visualization, analysis and biological discovery.

TL;DR: SeqVISTA is able to display results from diverse sequence analysis tools in an integrated fashion, and aims to provide much-needed unity to the bioinformatics resources scattered around the Internet.

TL;DR: The functional-linkage network is used to prioritize candidate genes for 110 diseases, and to reliably disclose hidden associations between disease pairs having dissimilar phenotypes, such as hypercholesterolemia and Alzheimer's disease.

TL;DR: VisANT has been developed to provide interactive visual mining of biological interaction data sets, and provides a general tool for mining and visualizing such data in the context of sequence, pathway, structure, and associated annotations.

TL;DR: This work critically review these components of plasticity, suggest best practices for carrying out each step, and proposes a voting method for meeting the challenge of assessing different methods on a large number of experimental data sets in the absence of a gold standard.