Article

CNAViz: An interactive webtool for user-guided segmentation of tumor DNA sequencing data

2022-01-17

Abstract excerpt

Copy-number aberrations (CNAs) are genetic alterations that amplify or delete the number of copies of large genomic segments. Although they are ubiquitous in cancer and, thus, a critical area of current cancer research, CNA identification from DNA sequencing data is challenging because it requires partitioning of the genome into complex segments with the same copy-number states that may not be contiguous. Existing...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0fd590eb-5eb0-5527-be77-dd3077f7ef81
DOI: 10.1101/2022.01.15.476457

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

CNAViz: An interactive webtool for user-guided segmentation of tumor DNA sequencing dataDOI 10.1101/2022.01.15.476457Read

Robust somatic copy number estimation using coarse-to-fine segmentationSemantic proximity Read

Allele-specific multi-sample copy number segmentation in ASCAT.Semantic proximity Read

Simple binary segmentation frameworks for identifying variation in DNA copy number.Semantic proximity Read

CGHweb: a tool for comparing DNA copy number segmentations from multiple algorithmsSemantic proximity Read

Improved allele-specific single-cell copy number estimation in low-coverage DNA-sequencing.Semantic proximity Read

CANCAN: high-resolution copy number and mutation heterogeneity analysis of DNA sequence data for clinical applicationsSemantic proximity Read

CESAR: A R Package for High-Sensitivity Detection of Copy Number Variations in ctDNA Using Segmentation and Anchor RecalibrationSemantic proximity Read

Methods for Copy Number Aberration Detection from Single-cell DNA Sequencing DataSemantic proximity Read

CalMaTe: a method and software to improve allele-specific copy number of SNP arrays for downstream segmentation.Semantic proximity Read

TUSCAN: Tumor segmentation and classification analysis in spatial transcriptomicsSemantic proximity Read

Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variantsSemantic proximity Read

Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes.Semantic proximity Read