Modeling the next generation sequencing read count data for DNA copy number variant study

DOI10.1515/sagmb-2014-0054zbMath1329.92017OpenAlexW2283724993WikidataQ30978444 ScholiaQ30978444MaRDI QIDQ906234

Jie Chen, Tieming Ji

Publication date: 21 January 2016

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2014-0054

zbMATH Keywords

Bayesian analysischange point analysiscopy number variationmoving window algorithmnext generation sequencing reads

Mathematics Subject Classification ID

General biostatistics (92B15) Bayesian inference (62F15) Genetics and epigenetics (92D10)

Related Items (3)

A modified information criterion for tuning parameter selection in 1d fused LASSO for inference on multiple change points ⋮ A Statistical Change-Point Analysis Approach for Modeling the Ratio of Next Generation Sequencing Reads ⋮ A penalized regression approach for DNA copy number study using the sequencing data

Uses Software

• DNAcopy
• ReadDepth
• CNV-seq

Cites Work

• Parametric Statistical Change Point Analysis
• Bayesian Hidden Markov Modeling of Array CGH Data
• A Bayesian approach to inference about a change point model with application to DNA copy number experimental data
• Circular binary segmentation for the analysis of array-based DNA copy number data
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
• An invariant form for the prior probability in estimation problems

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