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Current Genomics
ISSN: 1389-2029 (Print)
eISSN: 1875-5488 (Online)
Journal Impact Factor : 1.8
Special Issues With Active Call for Papers
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
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
Pathogen genomics & human health
Pathogens establish successful infection need to escape host immune surveillance. Alteration and mutation of genomics in pathogens confer advantages to subvert the host immune barrier. In this issue, we will collect and discuss current understanding in the field of “pathogen genomics and human disease”. see more
Current Genomics in Cardiovascular Research
Cardiovascular diseases are the main cause of death in the world, in recent years we have had important advances in the interaction between cardiovascular disease and genomics. In this Research Topic, we intend for researchers to present their results with a focus on basic, translational and clinical investigations associated with genomics and cardiovascular disease. Experimental studies, network meta-analysis, randomized controlled trials, systematic reviews and meta-analysis, umbrella reviews, meta-epidemiologic studies, cross-sectional studies, diagnosis, treatment, management, prevention... see more
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