Call for Chapters: Emerging Research in the Analysis and Modeling of Gene Regulatory Networks
Ivan V. Ivanov (Texas A&M University, USA)
Xiaoning Qian (Texas A&M University, USA)
Panadip Pal (Texas Tech University, USA)
Proposals Submission Deadline: May 15, 2014
Full Chapters Due: August 10, 2014
For release in the Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series
Series Editor(s): Srikanta Patnaik (SOA University, India) and Priti Das (S.C.B. Medical College, India)
The Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series brings together the most recent research on the latest technology used in areas of nursing informatics, clinical technology, biomedicine, diagnostic technologies, and more. Researchers, students, and practitioners in this field will benefit from this fundamental coverage on the use of technology in clinical practices.
With the wealth of massively measured elements at different levels in biological systems enabled by the advancing –omics experimental technologies, modern biology has become a highly interdisciplinary science. There is a clear trend of increasing mathematical, computational, and engineering content in modern biology research. Computational biology and bioinformatics have become major research fields. To synergistically integrate biology knowledge, which is rather descriptive, with these quantitative sciences, it is imperative for the researchers to understand both basic biology and relevant mathematics. Computational models of complex biological systems hold the promise to better understand the interactions with such systems with the ultimate goal to predict and control their dynamic via appropriately designed intervention strategies. As a particular kind of complex biological system, Gene Regulatory Networks (GRNs) represent relations among strands of DNA (genes) and the cell regulatory activities associated with those genes. It has become evident that predictive computational modeling of GRNs is critical to our ability to successfully develop therapeutic strategies for complex diseases such as cancer.
This book will aim to provide relevant theoretical frameworks and the latest empirical research findings in the area. It will be written for professionals who want to improve their understanding of the different aspects of the computational modeling of GRNs: the model inference from experimental and simulated data, the methods for designing of intervention strategies for controlling the model dynamic, the model robustness, and mappings that can compress the model without significant loss of fidelity.
The target audience of this book will be composed of professionals and researchers working in fields related to modeling and use of models of GRNs, e.g., genomics, molecular biology, computational biology, bioinformatics, and drug development. Importantly, the book will present the most recent advances in the field and will outline the important open problems that need to be addressed in the near future.
GRNs – a conceptual framework
GRNs – modeling strategies
GRNs – inference from time series and perturbation data
GRNs – control
GRNs – robustness Analysis
GRNs – compression mappings
GRNs – uncertainty classes and validation
GRNs – application of the models to specific problems of interest, e.g. drug development
Researchers and practitioners are invited to submit on or before May 15, 2014, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Submissions should be made through the link at the bottom of this page. Authors of accepted proposals will be notified by May 30, 2014 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by August 10, 2014. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2015.
May 15, 2014: Proposal Submission Deadline
May 30, 2014: Notification of Acceptance
August 10, 2014: Full Chapter Submission
October 30, 2014: Review Results Returned
December 30, 2014: Final Acceptance Notification
January 15, 2015: Final Chapter Submission
Dr. Ivan V. Ivanov
Department of Veterinary Physiology Pharmacology
Texas A&M University, College Station, TX 77843-4466
Tel.: +1 979 739 4328