multidimensional data integration
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2019 ◽  
Vol 3 (1) ◽  
pp. e201900546
Author(s):  
Matthias Blum ◽  
Pierre-Etienne Cholley ◽  
Valeriya Malysheva ◽  
Samuel Nicaise ◽  
Julien Moehlin ◽  
...  

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.


BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Le Shu ◽  
Yuqi Zhao ◽  
Zeyneb Kurt ◽  
Sean Geoffrey Byars ◽  
Taru Tukiainen ◽  
...  

Author(s):  
Kristian Rother ◽  
Heiko Müller ◽  
Silke Trissl ◽  
Ina Koch ◽  
Thomas Steinke ◽  
...  

2002 ◽  
Vol 17 (2) ◽  
pp. 21-27 ◽  
Author(s):  
Kunbin Qu ◽  
Nan Lin ◽  
Yanmei Lu ◽  
Donald Payan

2002 ◽  
Vol 17 (2) ◽  
pp. 21-27
Author(s):  
Kunbin Qu ◽  
Nan Lin ◽  
Yanmei Lu ◽  
D.G. Payan

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