Search results for "DNA Hydroxymethylation"

showing 3 items of 3 documents

On the Use of Binary Trees for DNA Hydroxymethylation Analysis

2017

DNA methylation (mC) and hydroxymethylation (hmC) can have a significant effect on normal human development, health and disease status. Hydroxymethylation studies require specific treatment of DNA, as well as software tools for their analysis. In this paper, we propose a parallel software tool for analyzing the DNA hydroxymethylation data obtained by TAB-seq. The software is based on the use of binary trees for searching the different occurrences of methylation and hydroxymethylation in DNA samples. The binary trees allow to efficiently store and access the information about the methylation of each methylated/hydroxymethylated cytosines in the samples. Evaluation results shows that the perf…

0301 basic medicineDNA Hydroxymethylation020203 distributed computingBinary treebusiness.industryComputer science02 engineering and technologyMethylationComputational biologySupercomputer03 medical and health scienceschemistry.chemical_compound030104 developmental biologySoftwareParallel softwarechemistryDNA methylation0202 electrical engineering electronic engineering information engineeringheterocyclic compoundsbusinessDNA
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HPG-HMapper: A DNA hydroxymethylation analysis tool

2019

DNA methylation (mC) and hydroxymethylation (hmC) can significantly affect the normal human development, as well as health and disease status. hmC studies require not only specific treatment of DNA, but also software tools for their analysis. However, there are no software tools capable of analyzing DNA hmC currently. In this article, we propose HPG-HMapper, a parallel software tool for analyzing the DNA hmC data obtained by ten-eleven translocation–assisted bisulfite sequencing. This tool takes as input data the output files of mC aligner tools, and it yields mC maps and the accounting of methylated and hydroxymethylated bases on each chromosome. The design of this tool includes the consi…

DNA Hydroxymethylation0303 health sciencesDisease statusComputer scienceParallel pipelineComputational biologyTheoretical Computer Science03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistryHardware and ArchitectureDNA methylationA-DNA030217 neurology & neurosurgerySoftwareDNA030304 developmental biologyThe International Journal of High Performance Computing Applications
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MLML2R: an R package for maximum likelihood estimation of DNA methylation and hydroxymethylation proportions.

2019

Abstract Accurately measuring epigenetic marks such as 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC) at the single-nucleotide level, requires combining data from DNA processing methods including traditional (BS), oxidative (oxBS) or Tet-Assisted (TAB) bisulfite conversion. We introduce the R package MLML2R, which provides maximum likelihood estimates (MLE) of 5-mC and 5-hmC proportions. While all other available R packages provide 5-mC and 5-hmC MLEs only for the oxBS+BS combination, MLML2R also provides MLE for TAB combinations. For combinations of any two of the methods, we derived the pool-adjacent-violators algorithm (PAVA) exact constrained MLE in analytical form. For the…

Statistics and ProbabilityDNA HydroxymethylationEpigenomicsIterative methodMaximum likelihood03 medical and health sciencessymbols.namesake0302 clinical medicineGeneticsHumansMolecular Biology030304 developmental biologyMathematics0303 health sciencesLikelihood FunctionsComputational BiologyHigh-Throughput Nucleotide SequencingProbability and statisticsDNA MethylationComputational MathematicsR packageLagrange multiplierDNA methylationsymbolsIterative approximationAlgorithm030217 neurology & neurosurgeryStatistical applications in genetics and molecular biology
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