A Bayesian model based computational analysis of the relationship between bisulfite accessible single-stranded DNA in chromatin and somatic hypermutation of immunoglobulin genes

A Bayesian model based computational analysis of the relationship between bisulfite accessible single-stranded DNA in chromatin and somatic hypermutation of immunoglobulin genes

The B cells in our body generate protective antibodies by introducing somatic hypermutations (SHM) into the variable region of immunoglobulin genes (IgVs). The mutations are generated by activation induced deaminase (AID) that converts cytosine to uracil in single stranded DNA (ssDNA) generated duri...

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Bibliographic Details
Main Authors: Duan, Z. (Author), MacCarthy, T. (Author), Scharff, M.D (Author), Tang, C. (Author), Wu, Y. (Author), Xing, H. (Author), Yu, G. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
Article
Bayes theorem
Bayes Theorem
Bayesian network
biology
bisulfite
cell culture
cell line
Cell Line
chemistry
chromatin
Chromatin
Computational Biology
computer model
DNA structure
DNA, Single-Stranded
Genes, Immunoglobulin
G-Quadruplexes
guanine quadruplex
hidden Markov model
hierarchical clustering
human
human cell
Humans
hydrogen sulfite
immunoglobulin gene
mutation
Mutation
mutation rate
procedures
segmentation algorithm
sequence analysis
single stranded DNA
somatic hypermutation
somatic mutation
sulfite
Sulfites
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