A Statistical Change-Point Analysis Approach for Modeling the Ratio of Next Generation Sequencing Reads

DOI10.1007/978-3-319-34139-2_13zbMath1349.62546OpenAlexW2508256191MaRDI QIDQ2833043

Hua Li, Jie Chen

Publication date: 16 November 2016

Published in: Association for Women in Mathematics Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-34139-2_13

zbMATH Keywords

change point analysisnext generation sequencing dataDNA copy numbers

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Point estimation (62F10) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20)

Uses Software

• ReadDepth
• CNV-seq
• rSW-seq
• SeqBBS

Cites Work

• Modeling the next generation sequencing read count data for DNA copy number variant study
• Parametric Statistical Change Point Analysis
• Circular binary segmentation for the analysis of array-based DNA copy number data
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