Estimation of the Spatial Chromatin Structure Based on a Multiresolution Bead-Chain Model
| العنوان: | Estimation of the Spatial Chromatin Structure Based on a Multiresolution Bead-Chain Model |
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| المؤلفون: | Anna Tonazzini, Monica Zoppè, Claudia Caudai, Emanuele Salerno |
| المصدر: | IEEE/ACM transactions on computational biology and bioinformatics 16 (2019): 550–559. doi:10.1109/TCBB.2018.2791439 info:cnr-pdr/source/autori:Caudai C.; Salerno E.; Zoppe M.; Tonazzini A./titolo:Estimation of the spatial chromatin structure based on a multiresolution bead-chain model/doi:10.1109%2FTCBB.2018.2791439/rivista:IEEE%2FACM transactions on computational biology and bioinformatics (Print)/anno:2019/pagina_da:550/pagina_a:559/intervallo_pagine:550–559/volume:16 |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Models, Molecular, Scale (ratio), Computer science, Bioinformatics, Polymers, Score, Translation (geometry), Cell Line, Set (abstract data type), Chromosome conformation capture, Genetics, Humans, Chromatin Fiber, Chromatin configuration, Fiber (mathematics), Applied Mathematics, Biological system modeling, Data models, Computational Biology, Reproducibility of Results, Computational modeling, Bayes Theorem, DNA, Genomics, Bayesian estimation, Quantitative Biology::Genomics, Chromatin, Algorithm, Algorithms, Biotechnology |
| الوصف: | We present a method to infer 3D chromatin configurations from Chromosome Conformation Capture data. Quite a few methods have been proposed to estimate the structure of the nuclear DNA in homogeneous populations of cells from this kind of data. Many of them transform contact frequencies into Euclidean distances between pairs of chromatin fragments, and then reconstruct the structure by solving a distance-to-geometry problem. To avoid inconsistencies, our method is based on a score function that does not require any frequency-to-distance translation. We propose a multiscale chromatin model where the chromatin fibre is suitably partitioned at each scale. The partial structures are estimated independently, and connected to rebuild the whole fibre. Our score function consists in a data-fit part and a penalty part, balanced automatically at each scale and each subchain. The penalty part enforces "soft" geometric constraints. As many different structures can fit the data, our sampling strategy produces a set of solutions with similar scores. The procedure contains a few parameters, independent of both the scale and the genomic segment treated. The partition of the fibre, along with intrinsically parallel parts, make this method computationally efficient. Results from human genome data support the biological plausibility of our solutions. |
| تدمد: | 1557-9964 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea1ffe53fa5929a96f0d4a113e11ae03Test https://pubmed.ncbi.nlm.nih.gov/29994172Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ea1ffe53fa5929a96f0d4a113e11ae03 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15579964 |
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