HIGHLIGHTS
SUMMARY
Large comprehensive biological datasets from multiple ‘omics approaches are being increasingly generated and released in the public domain (Costa, 2014; Deutsch et_al, 2019; Perez-Riverol et_al, 2019; Wörheide et_al, 2021). This offers computational biologists and bioinformaticians an unprecedented chance to gain mechanistic insights into cellular processes and biological phenomena involved in the aetiology of cancer and other human diseases (Alexandrov et_al, 2020; Golriz Khatami et_al, 2020; Nik-Zainal et_al, 2015). For analytical or visualization purposes, datasets representing, for example, somatic mutations across extensive collections of cancer patients (Cancer Genome Atlas Research Network et_al . . .
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