Automatic detection of genomic regions with informative epigenetic patterns

• Published in: BMC genomics Vol. 19; no. 1; p. 847
• Main Authors: Pazos, Florencio, Garcia-Moreno, Adrian, Oliveros, Juan C
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 28.11.2018; BioMed Central; BMC
• Subjects: Analysis; Automation; Bioinformatics; Brain; Brain - metabolism; Cancer; Classification; Computational Biology - methods; Data collection; Databases, Genetic; Datasets; Deoxyribonucleic acid; Developmental plasticity; Developmental stages; DNA; DNA sequencing; Epigenesis, Genetic; Epigenetic inheritance; Epigenetics; Epigenomics; Fetus - metabolism; Fetuses; Gene expression; Gene transcription regulation; Genome, Human; Genomes; Genomics; Humans; Information retrieval; Methods; Neoplasms - genetics; Nucleotide sequence; Ontology; Organs; Phenotypic plasticity; Proteins; Repositories; Tissues; Epigenetics; Gene transcription regulation; Epigenomics

Epigenetic phenomena are crucial for explaining the phenotypic plasticity seen in the cells of different tissues, developmental stages and diseases, all holding the same DNA sequence. As technology is allowing to retrieve epigenetic information in a genome-wide fashion, massive epigenomic datasets a...