Projekteja vuodessa
Abstrakti
Background: DNA methylation plays an important role in studying the epigenetics of various biological processes including many diseases. Although differential methylation of individual cytosines can be informative, given that methylation of neighboring CpGs are typically correlated, analysis of differentially methylated regions is often of more interest. Results: We have developed a probabilistic method and software, LuxHMM, that uses hidden Markov model (HMM) to segment the genome into regions and a Bayesian regression model, which allows handling of multiple covariates, to infer differential methylation of regions. Moreover, our model includes experimental parameters that describe the underlying biochemistry in bisulfite sequencing and model inference is done using either variational inference for efficient genome-scale analysis or Hamiltonian Monte Carlo (HMC). Conclusions: Analyses of real and simulated bisulfite sequencing data demonstrate the competitive performance of LuxHMM compared with other published differential methylation analysis methods.
Alkuperäiskieli | Englanti |
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Artikkeli | 58 |
Julkaisu | BMC Bioinformatics |
Vuosikerta | 24 |
Numero | 1 |
DOI - pysyväislinkit | |
Tila | Julkaistu - jouluk. 2023 |
OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Sormenjälki
Sukella tutkimusaiheisiin 'LuxHMM : DNA methylation analysis with genome segmentation via hidden Markov model'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.Tietoaineistot
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LuxHMM: DNA methylation analysis with genome segmentation via hidden Markov model
Malonzo, M. H. (Creator) & Lähdesmäki, H. (Creator), figshare, 13 huhtik. 2023
DOI - pysyväislinkki: 10.6084/m9.figshare.c.6584741, https://springernature.figshare.com/collections/LuxHMM_DNA_methylation_analysis_with_genome_segmentation_via_hidden_Markov_model/6584741
Tietoaineisto: Dataset
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Additional file 2 of LuxHMM: DNA methylation analysis with genome segmentation via hidden Markov model
Malonzo, M. H. (Creator) & Lähdesmäki, H. (Creator), figshare, 13 huhtik. 2023
DOI - pysyväislinkki: 10.6084/m9.figshare.22610645.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_LuxHMM_DNA_methylation_analysis_with_genome_segmentation_via_hidden_Markov_model/22610645/1
Tietoaineisto: Dataset
Projektit
- 1 Päättynyt
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Immuunivasteen säätely ja hoidon kohdennus reumataudeissa
Lähdesmäki, H. (Vastuullinen tutkija), Jokinen, E. (Projektin jäsen), Dumitrescu, A. (Projektin jäsen), Somani, J. (Projektin jäsen) & Osmala, M. (Projektin jäsen)
01/01/2018 → 31/12/2020
Projekti: Academy of Finland: Other research funding
Laitteet
Lehtileikkeet
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Aalto University Reports Findings in Bioinformatics (LuxHMM: DNA methylation analysis with genome segmentation via hidden Markov model)
08/03/2023
1 kohde/ Medianäkyvyys
Lehdistö/media: Esiintyminen mediassa