Painting portraits of tumors

See allHide authors and affiliations

Science  12 Feb 2021:
Vol. 371, Issue 6530, pp. 688
DOI: 10.1126/science.371.6530.688-b

Detailed assessment of tumor genomics, epigenomics, and transcriptomics is becoming increasingly common. As these methods generate ever-increasing collections of data, it can be difficult to analyze all of this information and determine how it applies to individual patients or rare cancer subtypes. To help interpret the accumulating data, Zhou et al. designed a web-based tool called GenomePaint, which can visualize a variety of omics data in cohorts of patients and in individual samples. The authors also used GenomePaint to identify previously unreported and likely pathogenic alterations in several tumor types, demonstrating the potential power of this method.

Cancer Cell 39, 83 (2021).

Stay Connected to Science

Navigate This Article