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

delete2019-12-09
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OA
AI
M
Matthias Blum
P
Pierre‐Etienne Cholley
V
Valeriya Malysheva
S
Samuel Nicaise
J
Julien Moehlin
H
Hinrich Gronemeyer *
M
Marco Antonio Mendoza-Parra *
DOI:10.26508/lsa.201900546delete
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摘要

摘要

En 中文
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.
Keyword:
CHIP-SEQ
PROVIDES
FORMAT
SYSTEM
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universites de strasbourg etablissements associes
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