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With over 10,000 samples across 33 tumor types, The Cancer Genome Atlas (TCGA) is an impressive resource for copy number and sequence variation information. By manually curating this data, we have improved the quality and usefulness of the data as well as ease-of-access and have it available as part of the TCGA Premier product. During this presentation, we will show how to easily access and explore a curated Acute Myeloid Leukemia (LAML) dataset from TCGA using Nexus Copy Number software. The main focus will be on identification of relevant common events within the project and how to leverage the clinical information provided for the samples.