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These platforms allow interrogation of patterns such as gene expression and DNA methylation at the vast majority of canonical loci, allowing granular insights and opportunities for validation of original findings. However, problems arise when validating against a \u201cgold standard\u201d measurement, since this immediately biases all subsequent measurements towards that particular technology or protocol. Since all genomic measurements are estimates, in the absence of a \u201dgold standard\u201d we instead empirically assess the measurement precision and sensitivity of a large suite of genomic technologies via a consensus modelling method called the row-linear model. This method is an application of the American Society for Testing and Materials Standard E691 for assessing interlaboratory precision and sources of variability across multiple testing sites. Both cross-platform and cross-locus comparisons can be made across all common loci, allowing identification of technology- and locus-specific tendencies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We assess technologies including the Infinium MethylationEPIC BeadChip, whole genome bisulfite sequencing (WGBS), two different RNA-Seq protocols (PolyA+ and Ribo-Zero) and five different gene expression array platforms. Each technology thus is characterised herein, relative to the consensus. We showcase a number of applications of the row-linear model, including correlation with known interfering traits. We demonstrate a clear effect of cross-hybridisation on the sensitivity of Infinium methylation arrays. Additionally, we perform a true interlaboratory test on a set of samples interrogated on the same platform across twenty-one separate testing laboratories.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>A full implementation of the row-linear model, plus extra functions for visualisation, are found in the R package consensus at https:\/\/github.com\/timpeters82\/consensus.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty675","type":"journal-article","created":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T11:25:49Z","timestamp":1533036349000},"page":"560-570","source":"Crossref","is-referenced-by-count":15,"title":["Evaluation of cross-platform and interlaboratory concordance via consensus modelling of genomic 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Biological Sciences, Macquarie University, North Ryde, NSW, Australia"},{"name":"NSW Ministry of Health, LMB 961, North Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shalima","family":"Nair","sequence":"additional","affiliation":[{"name":"Epigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjia","family":"Qu","sequence":"additional","affiliation":[{"name":"Epigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jenny","family":"Song","sequence":"additional","affiliation":[{"name":"Epigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katherine A","family":"Giles","sequence":"additional","affiliation":[{"name":"Epigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aaron L","family":"Statham","sequence":"additional","affiliation":[{"name":"Epigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helen","family":"Speirs","sequence":"additional","affiliation":[{"name":"Ramaciotti Centre for Genomics, University of New South Wales, Randwick, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Terence P","family":"Speed","sequence":"additional","affiliation":[{"name":"Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, 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