Vivien Marx Data
integration and tool interoperability can ease analyses of cancer ‘omics data and yield surprises.
Cancer ‘omics data sets are now available in all sizes, especially XXL, thanks to largescale tumor-genome sequencing efforts and the transcriptomic, epigenomic and proteomic characterization of thousands of tumors. These data help scientists decipher molecular mechanisms involved in tumor formation and cancer progression. Labs increasingly take on integrative analyses of these large, complex data, drawing on a wealth of bioinformatics tools and their own growing skill in using those tools. But these analyses are not yet a smooth, integrated ride.