Computational Resources for the Interpretation of Variations in Cancer.

Adv Exp Med Biol

Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.

Published: March 2022

A broad ecosystem of resources, databases, and systems to analyze cancer variations is present in the literature. These are a strategic element in the interpretation of NGS experiments. However, the intrinsic wealth of data from RNA-seq, ChipSeq, and DNA-seq can be fully exploited only with the proper skill and knowledge. In this chapter, we survey relevant literature concerning databases, annotators, and variant prioritization tools.

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http://dx.doi.org/10.1007/978-3-030-91836-1_10DOI Listing

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