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
Artikel i vetenskaplig tidskrift, 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.