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Current Genomics

Journal Impact Factor: 1.4
Scopus Cite Score: 5.0
Aims and Scope:
Current Genomics is a peer-reviewed journal that provides essential reading about the latest and most important developments in genome science and related fields of research. Systems biology, systems modeling, machine learning, network inference, bioinformatics, computational biology, epigenetics, single cell genomics, extracellular vesicles, quantitative biology, and synthetic biology for the study of evolution, development, maintenance, aging and that of human health, human diseases, clinical genomics and precision medicine are topics of particular interest. The journal covers plant genomics. The journal will not consider articles dealing with breeding and livestock. Current Genomics publishes three types of articles including: i) Research papers from internationally-recognized experts reporting on new and original data generated at the genome scale level. Position papers dealing with new or challenging methodological approaches, whether experimental or mathematical, are greatly welcome in this section. ii) Authoritative and comprehensive full-length or mini reviews from widely recognized experts, covering the latest developments in genome science and related fields of research such as systems biology, statistics and machine learning, quantitative biology, and precision medicine. Proposals for mini-hot topics (2-3 review papers) and full hot topics (6-8 review papers) guest edited by internationally-recognized experts are welcome in this section. Hot topic proposals should not contain original data and they should contain articles originating from at least 2 different countries. iii) Opinion papers from internationally recognized experts addressing contemporary questions and issues in the field of genome science and systems biology and basic and clinical research practices.
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Editor-in-Chief:

  • Fabio Coppede Department of Translational Research and of New Surgical and Medical Technologies
    University of Pisa
    Pisa
    Italy

ISSN: 1389-2029 (Print)

eISSN: 1875-5488 (Online)

Special Issues With Active Call for Papers

Submission closes on: Aug 30, 2026
Exploration of Tumor Biomarkers and Precision Diagnosis and Treatment through Multi-Omics Integration

Precision medicine offers new hope for tumor diagnosis and treatment by creating personalized plans based on individual patient characteristics like genes, proteins, and metabolites, improving outcomes and reducing side effects. The focus is now on discovering new targets and biomarkers to advance drug development and personalized targeted therapy. Despite breakthroughs, cancer's heterogeneity necessitates broader research on drugs and biomarkers. This topic highlights cutting-edge research in multi-omics integration for tumor biomarkers and precision treatment, gathering experts... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Jun Liu
Co-Guest Editor(s): Dr. Hui-Zhong Jiang
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Submission closes on: Aug 30, 2026
Integrating Machine Learning and Multiple Omics to Uncover Complex Immunity in Human Diseases

The intricate interplay between immune system dysregulation and human diseases remains incompletely mapped and deciphered, posing a great barrier to effective therapies. Recent advances in high-throughput omics technologies (genomics, transcriptomics, epigenomics, etc.) and spatial techniques generate vast multi-dimensional data, paving the way for deepening data mining. Sophisticated machine learning (ML) and artificial intelligence (AI) methods offer unprecedented power to integrate these complex layers, predict disease trajectories, and pinpoint novel therapeutic targets within the immune landscape.... see more

Impact Factor: 1.4
Guest Editor(s): Xinhua Liu
Co-Guest Editor(s): Dr. Tiancheng Zhang,Dr. Yang Li,Dr. Wei Ma
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Submission closes on: May 15, 2026
AI-Driven Genomics and Multi-Omics Approaches for Drug Discovery and Precision Medicine

The rapid advancements in artificial intelligence (AI) have opened new avenues in genomics and multi-omics research, providing transformative insights into disease mechanisms, biomarker discovery, and therapeutic strategies. This thematic issue explores the intersection of AI with genomics, transcriptomics, proteomics, metabolomics, and epigenomics, focusing on how computational intelligence can facilitate data integration and interpretation across diverse biological datasets. Key focus areas include AI-driven models for genomic variant analysis, single-cell and spatial transcriptomics, epigenetic modifications, and systems... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Shaban Ahmad
Co-Guest Editor(s): Dr. Khalid Raza,Dr. Mutaib M. Mashraqi,Dr. Murugesh Eswaran
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Submission closes on: May 15, 2026
Advances in Genomics and Precision Medicine for Cardiovascular Diseases

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality globally, representing a significant challenge to public health systems. Recent advancements in genomics and precision medicine offer unprecedented opportunities to transform the prevention, diagnosis, and treatment of CVDs. This special issue of Current Genomics explores the latest developments in these fields, highlighting the integration of genomic technologies with clinical practice. The application of next-generation sequencing, genome-wide association studies, and transcriptomic profiling has led to... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Jiang-Shan Tan
Co-Guest Editor(s): Dr. Song Hu
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Submission closes on: Mar 01, 2026
Emerging Molecular Mechanisms in Rare Genetic Skeletal Disorders: Linking Genomic Mutations to Clinical Outcomes.

Rare genetic skeletal disorders encompass a diverse group of conditions that impact bone and cartilage development, often due to pathogenic mutations in critical developmental genes. This thematic issue aims to explore the intricate molecular mechanisms underlying these disorders, providing insights into how specific genomic mutations translate into clinical phenotypes. Recent advances in genomic sequencing and bioinformatics have facilitated the identification of novel mutations and pathways associated with skeletal dysplasia, osteogenesis imperfecta, and other rare bone... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Muhammad Umair
Co-Guest Editor(s): Dr. Qamre Alam
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Submission closes on: Dec 31, 2025
Integrating Artificial Intelligence and Omics Approaches in Complex Diseases

Recent advancements in AI and omics methodologies have revolutionized the landscape of biomedical research, enabling us to extract valuable information from vast amounts of complex data. By combining AI algorithms with omics technologies such as genomics, proteomics, metabolomics, and transcriptomics, researchers can obtain a more comprehensive and multi-dimensional analysis of biological systems, ultimately leading to a better understanding of disease mechanisms. Complex diseases, characterized by their heterogeneous nature, pose unique challenges to researchers and clinicians... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Tao Wang
Co-Guest Editor(s): Dr. Elaine Chapman
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Submission closes on: Dec 31, 2025
Genomic Insights into Oncology: Harnessing Machine Learning for Breakthroughs in Cancer Genomics.

This special issue aims to explore the cutting-edge intersection of genomics and oncology, with a strong emphasis on original data and experimental validation. While maintaining the focus on how machine learning and advanced data analysis techniques are revolutionizing our understanding and treatment of cancer, this issue will prioritize contributions that go beyond mere data-mining. We seek to include comprehensive review articles that synthesize recent advancements and research papers that present novel data, demonstrating clear experimental... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Hao Chi
Co-Guest Editor(s): Dr. Guanhu Yang,Dr. Miguel Pereira-Silva,Dr. Gang Tian
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Submission closes on: Dec 31, 2025
Integrating Machine Learning with Genome Science: Pioneering Developments and Future Directions

Integrating machine learning (ML) with genome science is driving transformative advancements in fields such as genomics, personalized medicine, and drug discovery. Genomic data is vast and complex, making traditional analysis methods inadequate for uncovering deep insights. Machine learning, particularly deep learning models like convolutional neural networks (CNNs) and recurrent neural networks (RNNs), has become essential for efficiently analyzing genetic sequences, identifying mutations, and predicting the links between genotype and phenotype. In personalized medicine, ML helps... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Shitharth Selvarajan
Co-Guest Editor(s): Dr. Hariprasath Manoharan
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Submission closes on: Dec 31, 2025
Advanced AI Techniques in Big Genomic Data Analysis

The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, including machine learning and deep learning models, tailored for extracting, analyzing, and interpreting complex patterns within large-scale genomic datasets. Contributions to this issue will highlight... see more

Impact Factor: 1.4
Guest Editor(s): Dr. Guanfeng Liu
Co-Guest Editor(s): Dr. An Liu,Dr. Yan Zhao
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