epiG: Statistical inference and profiling of DNA methylation from whole-genome bisulfite sequencing data

Genome Biology

Volumn 18, Issue 1, 2017, Pages

  Vincent, Martin ^a   Mundbjerg, Kamilla ^b   Skou Pedersen, Jakob ^c   Liang, Gangning ^b   Jones, Peter A ^d   Ørntoft, Torben Falck ^c   Dalsgaard Sørensen, Karina ^c   Wiuf, Carsten ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c AARHUS UNIVERSITY HOSPITAL   (Denmark)

^d VAN ANDEL RESEARCH INSTITUTE   (United States)

Author keywords

CpG methylation; Epi allele; Epi allelic haplotype; Epigenetic state; GpC methylation; NOMe seq

Indexed keywords

DNA; GENOMIC DNA; NUCLEOSOME; PROTEIN BINDING;

ARTICLE; BENCHMARKING; CANCER CELL LINE; CANCER GENETICS; CANCER TISSUE; CELL DIFFERENTIATION; COLON TUMOR; CONTROLLED STUDY; CPG ISLAND; DEVELOPMENT; DNA METHYLATION; DNA POLYMORPHISM; EPIGENETICS; GENETIC HETEROGENEITY; HAPLOTYPE; HUMAN; HUMAN CELL; HUMAN TISSUE; INFERENTIAL STATISTICS; LNCAP CELL LINE; MICROARRAY ANALYSIS; NUCLEOSOME; POLYMERASE CHAIN REACTION; SEQUENCE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL; WHOLE GENOME BISULFITE SEQUENCING; ALLELE; DNA SEQUENCE; GENE EXPRESSION PROFILING; GENOTYPE; HIGH THROUGHPUT SEQUENCING; METABOLISM; PROCEDURES; REPRODUCIBILITY; SOFTWARE;

ALLELES; CPG ISLANDS; DNA METHYLATION; EPIGENOMICS; GENE EXPRESSION PROFILING; GENOTYPE; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; NUCLEOSOMES; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEIN BINDING; REPRODUCIBILITY OF RESULTS; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 85013392390     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-017-1168-4     Document Type: Article

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