Guest Editors:

		Prof. Dariusz Plewczyński  Head of Laboratory of Bioinformatics and Computational Genomics at the Faculty of Mathematics and Information Science, Warsaw University of Technology, and the Laboratory of Functional and Structural Genomics at the Centre of New Technologies, University of Warsaw, Poland. Email: d.plewczynski@cent.uw.edu.pl
		Prof. Hebing Chen  Beijing Institute of Radiation Medicine, China Email: chb-1012@163.com
		Prof. Yang Chen Peking Union Medical College, China Email: yc@ibms.pumc.edu.cn
		Prof. Juntao Gao Tsinghua University, China Email: jtgao@mail.tsinghua.edu.cn

Background and Objective

The three-dimensional chromatin structure is intricate, dynamic, and essential principles for gene regulation. Chromosomal conformation capture approaches and high-edge microscopic imaging techniques following with bioinformatics data processing, analysis methods, databases and visualization, especially machine learning prediction methods have unveiled the mechanism of interconnection between genome organization and nuclear architecture. The structure transitions of 3D chromatin can vary in different stages of cell development and differentiation, which related to dysregulation in disease. This special issue aims to establish a platform for quantitative researchers who are interested in unsolved questions in the 3D genome field through developing new biotechnology or bioinformatics methods, especially machine learning methods, which help further understand the roles of 3D genome organization principles in gene regulation, cell fate and cell function in physiology and disease.

Subject Coverage: We invite authors to submit original research and reviews for this Special Issue. The topics will encompass research fields in 3D genome, including but not limited to:
1. 3D genome biotechnology (sequencing and imaging）
2. 3D genome bioinformatics (data processing, data analysis, databases, and visualization)
3. 3D genome organization and function
4. Development & disease in 3D genome
5. Machine learning in 3D genome

About Quantitative Biology
Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, Executive Editor-in-Chief: Dr. Xuegong Zhang; http://journal.hep.com.cn/qb/EN/2095-4689/home.shtml ) is an interdisciplinary journal that focuses on significant research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and to gain a deeper understanding of life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems.

Publication and Peer-review Process
All manuscripts are reviewed by the Editorial Board and qualified reviewers. The journal makes the decisions as rapidly as possible, and we strive to return reviewers comments to authors within 3 weeks. All accepted articles will be published online first after proofreading and formatting process. As an incentive, we offer open access and free article-processing.

Indexing Body and Partners 
QB has been indexed by ESCI, BIOSIS Previews, Biological Abstracts, Google Scholar, Scopus, Chemical Abstracts Service (CAS), Chinese Science Citation Database (CSCD), EBSCO Discovery Service, Institute of Scientific and Technical Information of China, Naver, OCLC WorldCat Discovery Service, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon.

Important Dates:
Submission Deadline: July 30, 2022

Manuscripts Submission:
https://mc.manuscriptcentral.com/qb   

Content Available Online
http://journal.hep.com.cn/qb