3D Chromosome Modelling with Hi-C data
3-Dimensional Chromosome Modeling has been a extensively researched topic due to the link between its structural configuration and its many functions such as the regulation of gene expression and more. Many articles have explored the different ways to use data from chromosome conformation capturing...
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sg-ntu-dr.10356-1394962023-02-28T23:12:22Z 3D Chromosome Modelling with Hi-C data Koh, Qi Cheng Li, Yi School of Physical and Mathematical Sciences yili@ntu.edu.sg Science::Mathematics::Applied mathematics 3-Dimensional Chromosome Modeling has been a extensively researched topic due to the link between its structural configuration and its many functions such as the regulation of gene expression and more. Many articles have explored the different ways to use data from chromosome conformation capturing data to model the chromosomes. Some articles use probabilistic methods by analysing interaction frequencies directly while some use non-stochastic methods where they convert these interaction frequencies to distances to reconstruct the 3-D structures. Different papers have varying success in modeling chromosomes, however, this article aims to provide readers with a non-stochastic method to model chromosomes using Hi-C data. The task to do so is made out of two components mainly the conversion from interaction frequencies to corresponding distances and finding the nearest distance matrix to the actual structures. Bachelor of Science in Mathematical Sciences 2020-05-20T02:07:22Z 2020-05-20T02:07:22Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139496 en application/pdf Nanyang Technological University |
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Science::Mathematics::Applied mathematics Koh, Qi Cheng 3D Chromosome Modelling with Hi-C data |
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3-Dimensional Chromosome Modeling has been a extensively researched topic due to the link between its structural configuration and its many functions such as the regulation of gene expression and more. Many articles have explored the different ways to use data from chromosome conformation capturing data to model the chromosomes. Some articles use probabilistic methods by analysing interaction frequencies directly while some use non-stochastic methods where they convert these interaction frequencies to distances to reconstruct the 3-D structures. Different papers have varying success in modeling chromosomes, however, this article aims to provide readers with a non-stochastic method to model chromosomes using Hi-C data. The task to do so is made out of two components mainly the conversion from interaction frequencies to corresponding distances and finding the nearest distance matrix to the actual structures. |
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Li, Yi |
author_facet |
Li, Yi Koh, Qi Cheng |
format |
Final Year Project |
author |
Koh, Qi Cheng |
author_sort |
Koh, Qi Cheng |
title |
3D Chromosome Modelling with Hi-C data |
title_short |
3D Chromosome Modelling with Hi-C data |
title_full |
3D Chromosome Modelling with Hi-C data |
title_fullStr |
3D Chromosome Modelling with Hi-C data |
title_full_unstemmed |
3D Chromosome Modelling with Hi-C data |
title_sort |
3d chromosome modelling with hi-c data |
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Nanyang Technological University |
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2020 |
url |
https://hdl.handle.net/10356/139496 |
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