Statistical approach for predicting genome architecture and the major challenges

Sudheer Menon; Vincent Chi Hang Lui; Paul Kwong Hang Tam

doi:10.30574/wjarr.2022.13.1.0022

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 || CrossRef DOI

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Statistical approach for predicting genome architecture and the major challenges

Sudheer Menon ¹, Vincent Chi Hang Lui ^{1, 2, *} and Paul Kwong Hang Tam ^{1, 2, 3}

¹ Department of Surgery, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong.

² Dr. Li Dak-Sum Research Centre, The University of Hong Kong – Karolinska Institutet Collaboration in Regenerative Medicine, the University of Hong Kong, Hong Kong.

³ Faculty of Medicine, Macau University of Science and Technology, Macau, SAR China.

Review Article

World Journal of Advanced Research and Reviews, 2022, 13(01), 433-445

Article DOI: 10.30574/wjarr.2022.13.1.0022

DOI url: https://doi.org/10.30574/wjarr.2022.13.1.0022

Publication history

Received on 06 December 2021; revised on 12 January 2022; accepted on 14 January 2022

Abstract

Genome engineering assumes an urgent part in quality guidelines. The utilization of high-throughput techniques for chromatin profiling and 3-D association planning gives rich exploratory informational collections depicting genome association and elements. This information challenge improvement of new models and calculations associating genome design with epigenetic marks. In this survey, we depict how chromatin design could be reproduced from epigenetic information utilizing biophysical or measurable methodologies. We talk about the pertinence and limits of these techniques for understanding the components of chromatin association. We likewise feature the development of new prescient methodologies for scoring impacts of underlying varieties in human cells.

Keywords

Genome Engineering; Chromatin; Statistical; Genome Architecture; Prediction

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How to cite this article

Sudheer Menon, Vincent Chi Hang Lui and Paul Kwong Hang Tam. Statistical approach for predicting genome architecture and the major challenges. World Journal of Advanced Research and Reviews, 2022, 13(1), 433-435. Article DOI: https://doi.org/10.30574/wjarr.2022.13.1.0022

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Statistical approach for predicting genome architecture and the major challenges

Sudheer Menon ¹, Vincent Chi Hang Lui ^{1, 2, *} and Paul Kwong Hang Tam ^{1, 2, 3}

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Statistical approach for predicting genome architecture and the major challenges

Sudheer Menon 1, Vincent Chi Hang Lui 1, 2, * and Paul Kwong Hang Tam 1, 2, 3

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Issue details

Sudheer Menon ¹, Vincent Chi Hang Lui ^{1, 2, *} and Paul Kwong Hang Tam ^{1, 2, 3}