Genomics, Proteomics and Bioinformatics

Aims & Scope

Genomics, Proteomics and Bioinformatics (GPB) is the official journal of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China.

The goals of GPB are to disseminate new frontiers in the field of omics and bioinformatics, to publish high-quality discoveries in a fast-pace, and to promote open access and online publication via Article-in-Press for efficient publishing.

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

Manuscripts with topics on omics and the related bioinformatics are all welcome to publish with us.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science
• Medline
• PubMed
• Embase

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Mathematics and Medicine, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Biochemistry, Genetics and Molecular Biology, Mathematics and Medicine, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 3,650.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• PacBio Sequencing and its Applications

  Citation: 1828

  Authors: Anthony, Kin Fai

• Exosome and Exosomal MicroRNA: Trafficking, Sorting, and Function

  Citation: 1709

  Authors: Jian, Sha, Lu, Meng, Chongye, Jun, Shuangli

• KaKs_Calculator 2.0: A Toolkit Incorporating Gamma-Series Methods and Sliding Window Strategies

  Citation: 1602

  Authors: Dapeng, Yubin, Zhang, Jiang, Jun

• The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types

  Citation: 1244

  Authors: Tingting, Xu, Sisi, Junwei, Bixia, Anke, Lili, Zhewen, Caixia, Yanling, Lianjiang, Huanxin, Shuang, Yubin, Li, Xin, Jingfa, Yiming, Yanqing, Zhang, Wenming

• KaKs_Calculator: Calculating Ka and Ks Through Model Selection and Model Averaging

  Citation: 1002

  Authors: Zhang, Jun, Xiao-Qian, Jun, Gane Ka-Shu, Jun

• Roles, Functions, and Mechanisms of Long Non-Coding RNAs in Cancer

  Citation: 809

  Authors: Yiwen, Melissa J.

• GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction

  Citation: 804

  Authors: Jiabo, Zhiwu

• rMVP: A Memory-Efficient, Visualization-Enhanced, and Parallel-Accelerated Tool for Genome-Wide Association Study

  Citation: 800

  Authors: Lilin, Haohao, Zhenshuang, Jingya, Dong, Zhiwu, Xiaohui, Mengjin, Shuhong, Xinyun, Xiaolei

• A Brief Review on the Mechanisms of miRNA Regulation

  Citation: 781

  Authors: Yimei, Xiaomin, Songnian, Jun

• Oxford Nanopore MinION Sequencing and Genome Assembly

  Citation: 731

  Authors: Hengyun, Francesca, Zemin