PT - JOURNAL ARTICLE AU - Matthias Blum AU - Pierre-Etienne Cholley AU - Valeriya Malysheva AU - Samuel Nicaise AU - Julien Moehlin AU - Hinrich Gronemeyer AU - Marco Antonio Mendoza-Parra TI - A comprehensive resource for retrieving, visualizing, and integrating functional genomics data AID - 10.26508/lsa.201900546 DP - 2020 Jan 01 TA - Life Science Alliance PG - e201900546 VI - 3 IP - 1 4099 - https://www.life-science-alliance.org/content/3/1/e201900546.short 4100 - https://www.life-science-alliance.org/content/3/1/e201900546.full SO - Life Sci. Alliance2020 Jan 01; 3 AB - 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.