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A comprehensive review of bioinformatics tools for chromatin loop calling.
Liu, Li; Han, Kaiyuan; Sun, Huimin; Han, Lu; Gao, Dong; Xi, Qilemuge; Zhang, Lirong; Lin, Hao.
Afiliação
  • Liu L; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China.
  • Han K; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Sun H; School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
  • Han L; School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
  • Gao D; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Xi Q; State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
  • Zhang L; School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
  • Lin H; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Brief Bioinform ; 24(2)2023 03 19.
Article em En | MEDLINE | ID: mdl-36882016
ABSTRACT
Precisely calling chromatin loops has profound implications for further analysis of gene regulation and disease mechanisms. Technological advances in chromatin conformation capture (3C) assays make it possible to identify chromatin loops in the genome. However, a variety of experimental protocols have resulted in different levels of biases, which require distinct methods to call true loops from the background. Although many bioinformatics tools have been developed to address this problem, there is still a lack of special introduction to loop-calling algorithms. This review provides an overview of the loop-calling tools for various 3C-based techniques. We first discuss the background biases produced by different experimental techniques and the denoising algorithms. Then, the completeness and priority of each tool are categorized and summarized according to the data source of application. The summary of these works can help researchers select the most appropriate method to call loops and further perform downstream analysis. In addition, this survey is also useful for bioinformatics scientists aiming to develop new loop-calling algorithms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatina / Biologia Computacional Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatina / Biologia Computacional Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China