article Open AccessTop 1% cited
ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases
BMC Genomics · 2014 · Vol. 15(1) · pp. 284–284
Li Shen✉(Icahn School of Medicine at Mount Sinai)Ning‐Yi Shao(Icahn School of Medicine at Mount Sinai)Xiaochuan Liu(Allen Institute for Brain Science)Eric J. Nestler(Allen Institute for Brain Science)
Abstract
We conclude that ngs.plot is a useful tool to help fill the gap between massive datasets and genomic information in this era of big sequencing data.
Genomics and Phylogenetic StudiesGenomics and Chromatin DynamicsGene expression and cancer classificationPlot (graphics)DNA sequencingGenomeComputational biologyBiologyDNA microarrayScalabilityGenomicsVisualizationData science
MeSH terms
AlgorithmsAnimalsHumansPromoter Regions, GeneticSoftwareReproducibility of ResultsSequence Analysis, DNASequence Analysis, RNAComputational BiologyGenomicsDatabases, GeneticEmbryonic Stem CellsWorkflowData MiningEpigenomics
Funding
- University of Manchester
- National Institutes of Health
Citations
939
FWCI
29.33
field-weighted impact
References
70
Percentile
100%
vs. same field & year
Citations per year
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