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Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data

Mike L Smith, Mark J Dunning, Simon Tavaré, Andy G Lynch
2010 BMC Bioinformatics  
In this paper we show that using raw Illumina data it is possible to identify, control, and perhaps correct for a range of spatial-related phenomena that affect feature-intensity extraction.  ...  Illumina employ random construction of their BeadArrays, making feature-intensity extraction even more important for the Illumina platform than for other technologies.  ...  We also thank Semyon Kruglyak for useful discussion and advice on Illumina's algorithms, and Matt Ritchie for useful discussions.  ... 
doi:10.1186/1471-2105-11-208 pmid:20423502 pmcid:PMC2880029 fatcat:rx4zpcbn7fcatmtnve5p56cxvi

Diagnosing tuberculosis using nanomaterial-based detection of a host gene expression signature

Harriet Dulcie Gliddon, Michael Levin, Molly Stevens, Medical Research Council (Great Britain)
2019
This work presents the identification of two reduced gene expression signatures for TB/OD and TB/LTBI, which each consist of just four transcripts, and therefore represent feasible diagnostic TB biomarkers  ...  The validation of these TB-specific gene expression signatures was performed using RT-qPCR and digital PCR.  ...  Singapore before analysis on HumanHT-12 v.4 expression Beadarrays (Illumina). The results of the microarray analysis are shown in Figure 2.2.  ... 
doi:10.25560/68501 fatcat:omqwcnutp5fnnkcwdoyqlauvmm