Academic Journal
Q2Quantitative Biology
About Quantitative Biology
Quantitative Biology is a scholarly journal published by John Wiley and Sons Inc. SCImago 2025 lists it in Q2, with an SJR of 0.54 and H-index of 25.
Coverage: 2013-2026. Research categories: Applied Mathematics (Q2); Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q2); Computer Science Applications (Q2); Modeling and Simulation (Q2).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-02-24. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Bioinformatics and Genomic Networks; Gene Regulatory Network Analysis; Genomics and Phylogenetic Studies; Single-cell and spatial transcriptomics; Computational Drug Discovery Methods; RNA and protein synthesis mechanisms.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
An imputation method for single‐cell RNA sequencing data based on a parallel gated recurrent unit neural network
Shuang Xu, Xiangtao Li, Jingsong Li, Yu Jiang et al.
2026-12 · DOI: 10.1002/qub2.70054Cell dynamics on energy landscape: Comparing attractor detection in Boolean network and diffusion‐based models under in silico gene perturbations
Lingyu Li, Liangjie Sun, Shumin Li, Wai‐Ki Ching et al.
2026-12 · DOI: 10.1002/qub2.70056The evaluation crisis in artificial intelligence‐driven computational biology: Pitfalls and solutions
Tsung Fei Khang, Joshua W. K. Ho, Lin Hou, Jiangning Song et al.
2026-12 · DOI: 10.1002/qub2.70058ELE: Estimating tissue‐specific long noncoding RNA gene essentiality using graph neural networks
Wan‐Ting Shi, Ying‐Dong Liu, Xiu‐Jun Gong, Pu‐Feng Du et al.
2026-12 · DOI: 10.1002/qub2.70053Systematic quantification and removal of host DNA contamination in 16S rRNA gene sequencing
Till Birkner, Theda Ulrike Patricia Bartolomaeus, Victoria McParland, Sofia Kirke Forslund‐Startceva et al.
2026-12 · DOI: 10.1002/qub2.70055Telomere‐to‐telomere CHM13 reference reveals missing truth variants and improves deep learning‐based variant calling in long‐read sequencing data
Zhenxian Zheng, Minggao He, Xian Yu, Lei Chen et al.
2026-12 · DOI: 10.1002/qub2.70051Benchmarking commercial large language models for gene–disease–phenotype extraction from full‐text human genetics literature
Danqing Yin, Matthew Ka Siu Leung, Darren Wan Ho Pun, Fiona Haixin Chen et al.
2026-12 · DOI: 10.1002/qub2.70050Issue Information
2026-12 · DOI: 10.1002/qub2.70052TEAM: A time‐enhanced attention‐based model for virus mutation prediction
Jie Ji, Jie Hu, Tianwei Yu, Xiaodan Fan et al.
2026-12 · DOI: 10.1002/qub2.70049Understanding cancer from the perspective of cellular adaptation to stressors for survival
Zhenyu Huang, Xuechen Mu, Ying Xu
2026-09 · DOI: 10.1002/qub2.70048Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data
Shahriar Rahman Niloy, Toushif Muktashid Hasan, Md. Saiduzzaman Apu, Fahim Hafiz et al.
2026-09 · DOI: 10.1002/qub2.70047Fractal–fractional model for analysis of tuberculosis infection using Ethiopia incidence data
Kumama Regassa Cheneke, Fatmawati Fatmawati, Mustafa Bayram
2026-09 · DOI: 10.1002/qub2.70045Precise assessment of facial skin based on multimodal data fusion of the microbiome
Fan Meng, Junhui Zhang, Chunying Yuan, Ruichen Li et al.
2026-09 · DOI: 10.1002/qub2.70046Genome–phenome association prediction using weighted deep matrix factorization with a multisource graph attention network
Ran Duan, Wei Cao, Maozu Guo, Le Tian et al.
2026-09 · DOI: 10.1002/qub2.70044LaZeTrack: An open‐source object detection algorithm to detect and track 2‐day‐old zebrafish motor touch responses
Adrien Lacroix, Gary Alan Barclay Armstrong
2026-09 · DOI: 10.1002/qub2.70043scMOG: A graph neural network method for regulatory relationship‐preserving single‐cell multi‐omics integration
Yucheng Lu, Xun Zhang, Hongwei Li
2026-09 · DOI: 10.1002/qub2.70041Advances in large DNA fragment assembly for microbial cell factory engineering
Yu Zhang, Wenqian Liu, Dongyuan Cheng, Jiazhang Lian et al.
2026-09 · DOI: 10.1002/qub2.70039Reviews
Community Reviews
Version History
October 4, 2026 at 9:16 pm
October 2, 2026