Alexandra B Keenan

TL;DR: A high-throughput processing infrastructure and search database (ARCHS4) that provides processed RNA-seq data for 187,946 publicly available mouse and human samples to support exploration and reuse is developed.

TL;DR: The ChEA3 background database contains a collection of gene set libraries generated from multiple sources including TF–gene co-expression from RNA-seq studies, TF–target associations from ChIP-seq experiments, and TF-gree co-occurrence computed from crowd-submitted gene lists, which illuminate general transcription factor properties such as whether the TF behaves as an activator or a repressor.

TL;DR: The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders.

TL;DR: A set of novel brain cell consensus signatures and robust networks from the integration of multiple datasets are identified and therefore transcend limitations related to technical issues characteristic of each individual study.

TL;DR: ARCHS4, a web resource that makes the majority of previously published RNA-seq data from human and mouse freely available at the gene count level, outperforms co-expression data created from other major gene expression data repositories such as GTEx and CCLE.