Bioinformatics, Computational Biology and Multi-Omics Studies
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 55
Special Issue Editors
Interests: bioengineering; bioinformatics; complex networks
Interests: organ-on-chip; breast cancer; cancer research; tumor microenvironment (TME); electrospun membrane; dynamic drug delivery; personalized therapy
Special Issue Information
Dear Colleagues,
The field of bioinformatics and computational biology is evolving at an unprecedented pace, driven by rapid technological advances and the exponential growth of biological data. While new algorithms and computational methods emerge constantly, the fundamental need for robust programming, rigorous statistical reasoning, and biological validation remains unchanged. This creates both exciting opportunities and significant challenges for researchers working with complex multi-omics datasets and who are developing computational solutions for biological problems.
Modern bioinformatics faces unique challenges in integrating diverse data types from genomics, transcriptomics, proteomics, metabolomics, and other -omics layers. The complexity of these datasets demands sophisticated computational approaches that can handle high-dimensional data while maintaining biological interpretability. Additionally, the rapid evolution of sequencing technologies and experimental protocols requires computational methods that are both adaptive and robust across different platforms and data types.
This Special Issue invites cutting-edge bioinformatics, computational biology, and multi-omics studies. Topics can address any aspect related to the computational analysis of biological data, including, but not limited to, machine learning applications in genomics, novel algorithms for multi-omics integration, statistical methods for high-throughput data analysis, computational tools for systems biology, and AI-driven approaches for drug discovery and personalized medicine. Particular emphasis will be given to studies that demonstrate practical applications with real biological datasets, methodological innovations that address current computational bottlenecks, validation strategies that ensure the biological relevance of computational findings, and open-source tools and workflows that benefit the broader research community.
Dr. Elisabetta Sciacca
Dr. Sebastiano Di Bella
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- bioinformatics
- computational biology
- system biology
- omics sciences
- biological data integration
- multi-modal data fusion
- machine learning in biology
- biological statistical modeling
- precision medicine
- structural biology
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