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Current Genomics
ISSN: 1389-2029 (Print)
eISSN: 1875-5488 (Online)
Special Issues With Active Call for Papers
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
Deep learning in Single Cell Analysis
The field of biology is undergoing a revolution in our ability to study individual cells at the molecular level, and to integrate data from multiple sources and modalities. This has been made possible by advances in technologies for single-cell sequencing, multi-omics profiling, spatial transcriptomics, and high-throughput imaging, as well as the development of powerful machine learning and deep learning algorithms. In particular, the ability to analyze spatially resolved single-cell data has opened new avenues for... see more
Microbial Destruction of Resistant Pollutants: Adaptive Reactions, Genetic Determinants and Characteristics of Enzyme Systems
Microbial technologies for environmental removal of persistent pollutants are effective and low-cost. Microorganisms catalyze a huge variety of metabolic pathways for the destruction of toxicants, which allows them to adapt to almost any type of organic pollutant and use it as a substrate/cosubstrate. Modern research methods, such as NGS, transcriptomic analysis, and whole-genome sequencing, make it possible to study in detail the capabilities of a particular organism. However, without studying the properties of isolated enzymes,... see more
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
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous research findings. Recent advancements have rapidly expanded its applications, particularly in studying reproductive cells and embryonic stem cells with small sample sizes. These developments have... see more
Pathogenic Microbial Genomics in an Omics Era
From COVID-19 pandemic to gut microbes, microbial genomics is closely related to our daily life today and has become a hotspot of current genomics research. Specifically, the pathogenic microbial genomics has drawn much attention in recent years. Both scientists and the public are wondering how pathogenic microorganisms affect our health and how we can better understand pathogenic microorganisms from the perspective of genomics. In this thematic issue, we propose several sub-topics regarding these challenges. The... see more
Emerging Nucleic Acid Biomarkers for Cancer Diagnosis and Treatment
Cancer is one of the serious diseases endangering human health and apart from the human costs, it has brought a heavy burden to the world’s economic development. The incidence of cancer is relatively high due to an increased awareness in health of the population coupled with new technologies for its detection, a higher proportion of elderly subjects as well as a fast-pace lifestyle in the young. According to global cancer statistics, there will be an... see more
Genomic Insights into Oncology: Harnessing Machine Learning for Breakthroughs in Cancer Genomics (BMS-CG-2024-HT-48)
This special issue, "Genomic Insights into Oncology: Beyond Data-Mining Towards Actionable Genomic Medicine," 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... see more
New insights on Pediatric Tumors and Associated Cancer Predisposition Syndromes
Because of the broad spectrum of children cancer susceptibility, the diagnosis of cancer risk syndromes in children is rarely used in direct cancer treatment. The field of pediatric cancer genetics and genomics will only continue to expand as a result of increasing use of genetic testing tools. It's possible that people who have a children cancer predisposition syndrome might not be assessed in time to diagnose and prevent cancer in themselves or their family members... 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