Literature DB >> 22576175

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

Maria Ortiz-Estevez1, Ander Aramburu, Henrik Bengtsson, Pierre Neuvial, Angel Rubio.   

Abstract

SUMMARY: CalMaTe calibrates preprocessed allele-specific copy number estimates (ASCNs) from DNA microarrays by controlling for single-nucleotide polymorphism-specific allelic crosstalk. The resulting ASCNs are on average more accurate, which increases the power of segmentation methods for detecting changes between copy number states in tumor studies including copy neutral loss of heterozygosity. CalMaTe applies to any ASCNs regardless of preprocessing method and microarray technology, e.g. Affymetrix and Illumina. AVAILABILITY: The method is available on CRAN (http://cran.r-project.org/) in the open-source R package calmate, which also includes an add-on to the Aroma Project framework (http://www.aroma-project.org/).

Entities:  

Mesh:

Year:  2012        PMID: 22576175      PMCID: PMC3381965          DOI: 10.1093/bioinformatics/bts248

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

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2.  ACNE: a summarization method to estimate allele-specific copy numbers for Affymetrix SNP arrays.

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Journal:  Bioinformatics       Date:  2010-06-06       Impact factor: 6.937

3.  A multilevel model to address batch effects in copy number estimation using SNP arrays.

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5.  Parent-specific copy number in paired tumor-normal studies using circular binary segmentation.

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6.  Allele-specific copy number analysis of tumors.

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Journal:  PLoS Comput Biol       Date:  2011-01-27       Impact factor: 4.475

9.  A single-array preprocessing method for estimating full-resolution raw copy numbers from all Affymetrix genotyping arrays including GenomeWideSNP 5 & 6.

Authors:  Henrik Bengtsson; Pratyaksha Wirapati; Terence P Speed
Journal:  Bioinformatics       Date:  2009-06-17       Impact factor: 6.937

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4.  Getting DNA copy numbers without control samples.

Authors:  Maria Ortiz-Estevez; Ander Aramburu; Angel Rubio
Journal:  Algorithms Mol Biol       Date:  2012-08-16       Impact factor: 1.405

5.  Pan-cancer analysis of genomic scar signatures associated with homologous recombination deficiency suggests novel indications for existing cancer drugs.

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6.  Quantification of within-sample genetic heterogeneity from SNP-array data.

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8.  SETD2 loss-of-function promotes renal cancer branched evolution through replication stress and impaired DNA repair.

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Journal:  Oncogene       Date:  2015-03-02       Impact factor: 9.867

9.  Tumor mutation burden forecasts outcome in ovarian cancer with BRCA1 or BRCA2 mutations.

Authors:  Nicolai Juul Birkbak; Bose Kochupurakkal; Jose M G Izarzugaza; Aron C Eklund; Yang Li; Joyce Liu; Zoltan Szallasi; Ursula A Matulonis; Andrea L Richardson; J Dirk Iglehart; Zhigang C Wang
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

10.  Genome-wide identification of somatic aberrations from paired normal-tumor samples.

Authors:  Ao Li; Yuanning Liu; Qihong Zhao; Huanqing Feng; Lyndsay Harris; Minghui Wang
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