Systems Biology has undergone significant transformations due to the pioneering efforts of researchers worldwide. The discipline now spans several subfields, such as Neuroscience, Genetics and Genomics, Medicine, among others, each advancing the field in unique ways through innovative technologies and insightful discoveries. This evolution is celebrated in a curated collection by Frontiers in Systems Biology, which aims to highlight the state-of-the-art developments and set the stage for future inquiries and applications in the field. This collection actively showcases the overlap of technology with theoretical advancements, creating a broad framework from which new methodologies and strategies are born.
This Research Topic aims to provide an overview of the most recent progress in Systems Biology. It seeks to outline the impacts that the integration of disparate biological research areas can have in solving complex biological problems and advancing human health. Without losing sight of the past achievements, the goal is to explore the potential of future advancements, addressing the challenges that remain at the forefront of this vibrant field.
The scope of this Research Topic is broadly defined yet focused on areas where significant innovative strides have been made. We welcome contributions that emphasize:
- Integrative approaches in Systems Neuroscience
- Contemporary breakthroughs in Genetics and Genomics
- The use of Multiscale Mechanistic Modelling to represent biological interfaces
- Bridging gaps between experimental and computational biology in Translational Systems Biology
- Enhancing methodologies in Data and Model Integration
This collection welcomes contributions from Editorial Board Members or those referred by a board member, reflecting on current developments and plotting pathways for upcoming research endeavors. Authors are encouraged to engage critically with their fields, identifying current challenges and proposing novel solutions to advance the understanding of complex systems within biology.
Systems Biology has undergone significant transformations due to the pioneering efforts of researchers worldwide. The discipline now spans several subfields, such as Neuroscience, Genetics and Genomics, Medicine, among others, each advancing the field in unique ways through innovative technologies and insightful discoveries. This evolution is celebrated in a curated collection by Frontiers in Systems Biology, which aims to highlight the state-of-the-art developments and set the stage for future inquiries and applications in the field. This collection actively showcases the overlap of technology with theoretical advancements, creating a broad framework from which new methodologies and strategies are born.
This Research Topic aims to provide an overview of the most recent progress in Systems Biology. It seeks to outline the impacts that the integration of disparate biological research areas can have in solving complex biological problems and advancing human health. Without losing sight of the past achievements, the goal is to explore the potential of future advancements, addressing the challenges that remain at the forefront of this vibrant field.
The scope of this Research Topic is broadly defined yet focused on areas where significant innovative strides have been made. We welcome contributions that emphasize:
- Integrative approaches in Systems Neuroscience
- Contemporary breakthroughs in Genetics and Genomics
- The use of Multiscale Mechanistic Modelling to represent biological interfaces
- Bridging gaps between experimental and computational biology in Translational Systems Biology
- Enhancing methodologies in Data and Model Integration
This collection welcomes contributions from Editorial Board Members or those referred by a board member, reflecting on current developments and plotting pathways for upcoming research endeavors. Authors are encouraged to engage critically with their fields, identifying current challenges and proposing novel solutions to advance the understanding of complex systems within biology.