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Both types of profiling data were mined for interesting gene expression and metabolite patterns and relationships.
Expression data were mined for GPCR genes from four different datasets.
Transcriptome data were mined for expression of GS genes using TBlastX with a cut-off e-value of 1E−10 (data not shown).
Diana, Valmaine, Greenlake, La Brillante, and PI125246 of L. sativa and accession US96UC23 of the wild progenitor L. serriola (D. Lavelle and R. W. Michelmore, unpublished data) were mined for the presence of singleton NLR encoding genes.
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For this purpose, transcriptional profiling data was mined for genes whose expression across the cell lines correlates with tumorigenic potential.
The output data are mined for ecologically relevant elementary modes, such as efficient biomass production from sunlight or efficient ATP generation from lactate and sulfate.
The transcriptome data was mined for single nucleotide polymorphisms (SNP) and simple sequence repeat (SSR) markers, yielding 89,007 high quality SNPs and 2949 SSRs, respectively.
When two or more putatively assigned metabolites are observed in the same pathway, the MS data are mined for other metabolites in that pathway and targeted for MS/MS analysis, essentially aiding pathway and network analysis.
Most recently, the 'TelSeq' method has been shown to produce results that correlate well with existing technologies (Ding et al. 2014): whole-genome next-generation sequencing data are mined for reads that are rich in telomere sequence, and relative length is determined.
Previously published gene expression data of indicated cell populations were mined for TOX3 expression.
Enterprise workloads are increasingly being enabled by AI technologies, and corporate data is being mined for insights by data center machine learning stacks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com