A comprehensive resource for retrieving, visualizing, and integrating functional genomics data

Matthias Blum; Pierre-Etienne Cholley; Valeriya Malysheva; Samuel Nicaise; Julien Moehlin; Hinrich Gronemeyer; Marco Antonio Mendoza-Parra

doi:10.26508/lsa.201900546

A comprehensive resource for retrieving, visualizing, and integrating functional genomics data
Journal article, 2020

The enormous amount of freely accessible functional genomics data is an invaluable resource for interrogating the biological function of multiple DNA-interacting players and chromatin modifications by large-scale comparative analyses. However, in practice, interrogating large collections of public data requires major efforts for (i) reprocessing available raw reads, (ii) incorporating quality assessments to exclude artefactual and low-quality data, and (iii) processing data by using high-performance computation. Here, we present qcGenomics, a user-friendly online resource for ultrafast retrieval, visualization, and comparative analysis of tens of thousands of genomics datasets to gain new functional insight from global or focused multidimensional data integration. © 2019 Blum et al.