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03030nam a2200553Ia 4500 |
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10.1186-s12859-021-04191-8 |
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220427s2021 CNT 000 0 und d |
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|a 14712105 (ISSN)
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| 245 |
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|a CpGmotifs: a tool to discover DNA motifs associated to CpG methylation events
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|b BioMed Central Ltd
|c 2021
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|z View Fulltext in Publisher
|u https://doi.org/10.1186/s12859-021-04191-8
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|a Background: The investigation of molecular alterations associated with the conservation and variation of DNA methylation in eukaryotes is gaining interest in the biomedical research community. Among the different determinants of methylation stability, the DNA composition of the CpG surrounding regions has been shown to have a crucial role in the maintenance and establishment of methylation statuses. This aspect has been previously characterized in a quantitative manner by inspecting the nucleotidic composition in the region. Research in this field still lacks a qualitative perspective, linked to the identification of certain sequences (or DNA motifs) related to particular DNA methylation phenomena. Results: Here we present a novel computational strategy based on short DNA motif discovery in order to characterize sequence patterns related to aberrant CpG methylation events. We provide our framework as a user-friendly, shiny-based application, CpGmotifs, to easily retrieve and characterize DNA patterns related to CpG methylation in the human genome. Our tool supports the functional interpretation of deregulated methylation events by predicting transcription factors binding sites (TFBS) encompassing the identified motifs. Conclusions: CpGmotifs is an open source software. Its source code is available on GitHub https://github.com/Greco-Lab/CpGmotifs and a ready-to-use docker image is provided on DockerHub at https://hub.docker.com/r/grecolab/cpgmotifs. © 2021, The Author(s).
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|a Alkylation
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|a Binding sites
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|a Biomedical research
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|a Computational strategy
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|a CpG island
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|a CpG Islands
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|a DNA
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|a DNA methylation
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|a DNA methylation
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|a DNA Methylation
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|a DNA Methylation
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|a DNA methylation signature
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|a DNA motifs
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|a DNA sequences
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|a Functional interpretations
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|a Genome, Human
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|a HTTP
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|a human
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|a human genome
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|a Human genomes
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|a Humans
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|a Methylation
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|a nucleotide motif
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|a Nucleotide Motifs
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|a Open source software
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|a Open systems
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|a R-Shiny
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|a Sequence patterns
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|a software
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|a Software
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|a Surrounding regions
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|a Transcription factors
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|a User friendly
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|a Federico, A.
|e author
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|a Greco, D.
|e author
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|a Scala, G.
|e author
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| 773 |
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|t BMC Bioinformatics
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