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Versatile Identification of Copy Number Variants with Canvas.

Sergii Ivakhno1, Eric Roller2

  • 1Illumina Cambridge Ltd., Chesterford Research Park, Essex, UK.

Methods in Molecular Biology (Clifton, N.J.)
|July 25, 2018
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Summary

Canvas is a new tool for identifying copy number changes in large sequencing datasets. It efficiently analyzes diverse samples, including tumor and normal genomes, simplifying bioinformatics workflows.

Keywords:
Copy number variationSmall pedigreeSomatic variation

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate variant calling, especially for copy number alterations (CNAs), is crucial for analyzing large-scale sequencing data.
  • Challenges in CNA identification include data complexity, sequencing biases, coverage variations, and sample-specific properties like tumor polyploidy or germline de novo variation.
  • A unified software framework for diverse sample types (normal, tumor, pedigrees) streamlines bioinformatics workflows and reduces maintenance overhead.

Purpose of the Study:

  • To introduce Canvas, a versatile tool for identifying copy number changes across various sequencing experiments.
  • To provide a multipurpose variant calling solution for core sequencing facilities handling diverse sample sources.
  • To simplify and standardize the analysis of copy number variations in both germline and somatic sequencing studies.

Main Methods:

  • Canvas utilizes a novel approach for copy number variant (CNV) detection applicable to whole-genome and whole-exome sequencing data.
  • The tool supports diverse experimental designs: matched tumor-normal, unmatched tumor-normal, small pedigrees, and single-sample normal resequencing.
  • Genome-wide parameters such as cancer ploidy, purity, and heterogeneity are inferred alongside variant calls.

Main Results:

  • Canvas demonstrates efficient and accurate identification of copy number changes in diverse sequencing datasets.
  • The tool successfully analyzes samples from various sources, including cancer genomes and germline pedigrees.
  • Canvas provides scalable and easily integrable workflows capable of processing thousands of samples.

Conclusions:

  • Canvas offers a versatile and efficient solution for copy number variant calling in large-scale sequencing.
  • Its ability to handle diverse sample types within a single framework simplifies bioinformatics pipelines.
  • Canvas facilitates robust genomic analysis by inferring critical sample parameters and enabling scalable variant calling.