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.

Författare

Matthias Blum

European Bioinformatics Institute

IGBMC Institut de Genetique et de Biologie Moleculaire et Cellulaire

Pierre-Etienne Cholley

Chalmers, Biologi och bioteknik, Systembiologi

IGBMC Institut de Genetique et de Biologie Moleculaire et Cellulaire

Valeriya Malysheva

Imperial College London

Medical Research Council

IGBMC Institut de Genetique et de Biologie Moleculaire et Cellulaire

Samuel Nicaise

CHU Strasbourg

IGBMC Institut de Genetique et de Biologie Moleculaire et Cellulaire

Julien Moehlin

IGBMC Institut de Genetique et de Biologie Moleculaire et Cellulaire

Universite d' Evry Val d'Essonne

Hinrich Gronemeyer

IGBMC Institut de Genetique et de Biologie Moleculaire et Cellulaire

Inserm Transfert

Université de Strasbourg

Centre national de la recherche scientifique (CNRS)

Marco Antonio Mendoza-Parra

Universite d' Evry Val d'Essonne

Centre national de la recherche scientifique (CNRS)

IGBMC Institut de Genetique et de Biologie Moleculaire et Cellulaire

Life Science Alliance

25751077 (eISSN)

Vol. 3 1 e201900546

Ämneskategorier

Annan data- och informationsvetenskap

Bioinformatik (beräkningsbiologi)

Bioinformatik och systembiologi

DOI

10.26508/lsa.201900546

PubMed

31818883

Mer information

Senast uppdaterat

2020-01-24