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The Pacific Symposium on Biocomputing (PSB) 2024 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2024 will be held on January 3 - 7, 2024 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2024 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
The Pacific Symposium on Biocomputing (PSB) 2024 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2024 will be held on January 3 - 7, 2024 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2024 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
‘Relativity in Business: How Physics Shapes Management Science’ unveils the intriguing overlap between physics and management, providing a novel outlook on business strategy and organisational behaviour. It leverages concepts from motion, thermodynamics, quantum mechanics, and chaos theory, among others, to forge a groundbreaking framework for addressing business complexities. Aimed at managers, strategists, and academics, the book translates intricate physics into actionable insights for business challenges, such as optimising operations and leveraging chaos for organisational benefit. Through compelling case studies, it shows how applying physics principles can spur innovation and cultivate efficient, sustainable business practices. This text is a valuable tool for anyone interested in melding scientific principles with business strategy to enhance outcomes, making it a seminal read in the fusion of science and management.
This book constitutes the proceedings of the 21st International Conference on Comparative Genomics, RECOMB-CG 2024, which was held in Boston, MA, USA, during April 27-28, 2024. The 13 full papers presented in this book were carefully reviewed and selected from 21 submissions. The papers are divided into the following topical sections: phylogenetic networks; homology and phylogenetic reconstruction; tools for evolution reconstruction; genome rearrangements; and genome evolution.