Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

BACOM: in silico detection of genomic deletion types and correction of normal cell contamination in copy number data.

Bioinformatics (Oxford, England) - 1 Jun 2011

Yu Guoqiang, Zhang Bai, Bova G Steven, Xu Jianfeng, Shih Ie-Ming, Wang Yue

Abstract excerpt

MOTIVATION: Identification of somatic DNA copy number alterations (CNAs) and significant consensus events (SCEs) in cancer genomes is a main task in discovering potential cancer-driving genes such as oncogenes and tumor suppressors. The recent development of SNP array technology has facilitated studies on copy number changes at a genome-wide scale with high resolution. However, existing copy number analysis...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bayes Theorem
Share to DNA Copy Number Variations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA, Neoplasm

Share to Oligonucleotide Array Sequence Analysis

Share to Ovarian Neoplasms

Share to Prostatic Neoplasms

Share to Sequence Deletion

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 21498400
DOI: 10.1093/bioinformatics/btr183
PMCID: PMC3102226

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

BACOM: in silico detection of genomic deletion types and correction of normal cell contamination in copy number data.PMID 21498400Read ↗

BACOM2.0 facilitates absolute normalization and quantification of somatic copy number alterations in heterogeneous tumor.Semantic proximity Read ↗

Integrative pipeline for profiling DNA copy number and inferring tumor phylogenySemantic proximity Read ↗

Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny.Semantic proximity Read ↗

A Bayesian method to cluster single-cell RNA sequencing data using Copy Number AlterationsSemantic proximity Read ↗

Copy number-aware deconvolution of tumor-normal DNA methylation profilesSemantic proximity Read ↗

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

Coverage-based detection of copy number alterations in mixed samples using DNA sequencing data: a theoretical framework for evaluating statistical powerSemantic proximity Read ↗

Comparison of methods to detect copy number alterations in cancer using simulated and real genotyping data.Semantic proximity Read ↗

The Tangent copy-number inference pipeline for cancer genome analysesSemantic proximity Read ↗

Bayesian copy number detection and association in large-scale studiesSemantic proximity Read ↗

Precise inference of copy number alterations in tumor samples from SNP arrays.Semantic proximity Read ↗

CNApp, a tool for the quantification of copy number alterations and integrative analysis revealing clinical implications.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.