Call for Papers: Special Issue on Long-read Sequencing

Genomics, Proteomics and Bioinformatics (GPB) is interested in submissions across all areas of life science, biology, and biomedicine, focusing on large data acquisition, analysis, and curation.

Submission Deadline: June 30, 2025

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Intro  | Scope | Submission | Guest Editors

Introduction:

The journal Genomics, Proteomics & Bioinformatics (GPB) is inviting submissions for a special issue (to be published in the Autumn of 2025) on the topic of “Long-read Sequencing”.

Long-read sequencing (LRS) technologies are revolutionizing the field of genomics by providing unprecedented insights into genome architecture and function. With the ability to read long fragments of DNA and RNA, LRS overcomes many of the limitations of short-read sequencing, offering a more comprehensive view of genomic, epigenomic, and transcriptomic variations. This technological leap has opened up new avenues for research in diverse biomedical fields. Despite significant progress, there remains a critical need for new experimental methodologies harnessing LRS technologies, new computational tools for interpreting LRS data, and demonstration of their applications to basic, translational, and clinical research.

Scope:

We are pleased to announce a special issue on “Long-read Sequencing” in GPB. This special issue will publish articles focusing on LRS-based experimental methodologies, computational tools, and their applications. This special issue seeks to provide a forum for disseminating latest technological advances in LRS and biomedical discoveries with this technology.

Topics may include (but are not limited to):

• Novel experimental methodologies for LRS-based DNA and RNA analysis.

• Novel computational algorithms, workflows, databases, and web servers dedicated to the analysis and visualization of LRS data.

• Integration of LRS with other omics approaches, such as single-cell or spatial omic technologies.

• Comparative analyses demonstrating the strengths and weaknesses of LRS in contrast to short-read sequencing.

• Applications of LRS to basic, translational, and clinical research.

Submission:

Reviews, perspectives, original studies, databases, webservers, methods, application notes, protocols, etc. are all welcome. The portfolio will be open for incoming manuscripts until June 30, 2025.

Manuscripts should be prepared according to the Guide for Authors and the manuscript template, and submitted online here. Please indicate in the cover letter that the submission is for this special issue and provide the actual article type, while selecting “SI: Long Read Sequencing” as the article type during manuscript submission.

Guest Editors:

Guest editors for this special issue are Dr. Yi Xing (Children's Hospital of Philadelphia & University of Pennsylvania), Dr. Hui Shen (Van Andel Institute), and Dr. Wanlu Liu (Zhejiang University). 

For further information, please contact us at:

Dr. Yi Xing ([email protected]);
Dr. Hui Shen ([email protected]);
Dr. Wanlu Liu ([email protected]);
Editorial Office ([email protected]).

Yi Xing

Dr. Yi Xing is the Francis West Lewis Endowed Chair and Founding Director of the Center for Computational and Genomic Medicine, as well as the Executive Director of the Department of Biomedical and Health Informatics at the Children’s Hospital of Philadelphia (CHOP). Dr. Xing is also a Professor of Pathology and Laboratory Medicine at the University of Pennsylvania (Penn). His work has provided fundamental insights into the function, regulation, and evolution of post-transcriptional RNA processing in mammals. His current research merges the fields of computational biology, biomedical data science, RNA genomics, human genetics, precision medicine, and immuno-oncology.

Hui Shen

Dr Hui Shen is a Professor of the Department of Epigenetics at Van Andel Institute, and F1000 Faculty Member for Cancer Epigenetics. Her work as part of The Cancer Genome Atlas (TCGA) team contributed to a better understanding of the molecular basis of cancer through genomic analysis. Her current research is focused on DNA methylation, cancer epigenomics, computational biology, and single-cell technologies.

Wanlu Liu

Dr. Wanlu Liu is currently an Assistant Professor/Principal Investigator at Zhejiang University, ZJU-UoE institute, as well as an Honorary Lecturer of the University of Edinburgh. Her research interests include computational biology, single-cell omics, and computational Immunology on T cells.