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CALL FOR PAPERS/CHAPTERS Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology (Sub-title: Systems & Applications) Publisher: Elsevier (MK imprints) Paper Submission Deadline: September 15, 2015 Science Citation Indexing: Subject to relevant Elsevier indexing products which includes, Medline, Scopus, EMBASE, BIOSIS, Biological Abstracts and others. Due to the success of the first book (Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology; with sub-title: Algorithms and Software Tools - will be made available in late August 2015), Elsevier encouraged us to edit this second book in the series. You are invited to submit a paper/chapter; see below for submission instructions. All accepted papers will be published in a research book entitled "Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology" (with Sub-title: Systems & Applications). This book will be published by Elsevier (in book series, "Emerging Trends in Computer Science and Applied Computing".) TOPICS OF INTEREST INCLUDE (BUT ARE NOT LIMITED TO) THE FOLLOWINGS: Computational Biology is the science of using biological data to develop algorithms and relations among various biological systems. It involves the application of data-analytical and algorithms, mathematical modeling and simulation techniques to the study of biological systems. The field is multidisciplinary in that it includes topics that are traditionally covered in computer science, mathematics, imaging science, statistics, chemistry, biophysics, genetics, genomics, ecology, evolution, anatomy, neuroscience, and visualization where computer science acts as the topical bridge between all such diverse areas (for a formal definition of Computational Biology, refer to the Computational_biology wiki page). Many consider the area of Bioinformatics to be a sub-field of Computational Biology which includes methods for storing, retrieving, organizing and analyzing biological data. The area of Systems Biology is an emerging methodology applied to biomedical and biological scientific research. It is an area that overlaps with computational biology and bioinformatics. In addition, the area of Big Data and Data Analytics has become an important topic in Computational Biology. This edited book will cover the emerging trends in all aspects of Computational Biology, Bioinformatics, and Systems Biology. The topics of interest appear below (but we are not limited to only these topics - therefore, the list below should be considered to be only a partial list): O COMPUTATIONAL BIOLOGY: Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. Topics of interest include (but not limited to): - Computational Biology and Applications in Cancer Research - Software Tools and Methods for Computational Biology - Application of Computational Intelligence and Drug Design - High-performance Computing and Applications in Biology - Parallel Algorithms and Methods - Scalable Systems and Algorithms - Statistical Methods in Biology - Cloud and Grid Computing for Biological Systems - Simulation Methods O BIOINFORMATICS - DATABASES, DATA MINING, AND PATTERN DISCOVERY: Bioinformatics is an interdisciplinary scientific field that is concerned with methods for storing, retrieving, organizing and analyzing biological data. The field is also concerned with software tools to generate useful biological knowledge. Many of the methods in bioinformatics have foundations in mathematics and statistics. Topics of interest include (but not limited to): - General Principles of DNA/RNA Structure and Stability - Sequence Alignment Methods - Software for Bioinformatics and Applications - Algorithms and Models - Phylogenetic Inference and Evolutionary Relationships - Structure Prediction - Genome Sequencing and Mapping - Genome Reconstruction and Assembly - Comparative Genomics - Functional Genomics and Reverse Genetics - Gene Expression Analysis, Clustering, Motif Discovery - Genome Annotation: Gene Finding, Gene Indices - Genetic Regulation and Genome Diversity and Structure - The Human Genome Project - Genome Databases - Proteomics and Metabolomics - Protein Structure and Modeling and Classification - Microarray Analysis - Medical Applications O SYSTEMS BIOLOGY: Systems biology provides an ability to obtain, integrate and analyze complex data sets from multiple experimental sources using interdisciplinary tools. This is an evolving field and there is not yet an agreed-upon definition for it. Topics of interest include (but not limited to): - Phenomics: Organismal variation in phenotype as it changes during its life span - Genomics: Organismal deoxyribonucleic acid (DNA) sequence, including intra-organismal cell specific variation - Epigenomics / Epigenetics: Organismal and corresponding cell specific transcriptome regulating factors not empirically coded in the genomic sequence - Transcriptome: Organismal, tissue or whole cell gene expression measurements by DNA microarrays or serial analysis of gene expression - Interferomics: Organismal, tissue, or cell level transcript correcting factors (i.e. RNA interference) - Translatomics / Proteomics: Organismal, tissue, or cell level measurements of proteins and peptides via 2D gel electrophoresis, mass spectrometry or multi-dimensional protein identification techniques - Metabolomics: Organismal, tissue, or cell level measurements of all small-molecules known as metabolites - Glycomics: Organismal, tissue, or cell level measurements of carbohydrates - Lipidomics: Organismal, tissue, or cell level measurements of lipids - Probability Modeling and Statistical Inference in Periodic Cancer Screening - Cell cycle and checkpoint control - Systems biology and vaccination research O BIG DATA AND DATA ANALYTIC IN COMPUTATIONAL BIOLOGY AND BIOINFORMATICS: Big Data is the collection of data sets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. With the advent of high-throughput genomics, life scientists are starting to demand massive data sets, encountering challenges with handling, processing and moving information that were once the domain of other disciplines. Topics of interest include (but not limited to): - Algorithms for Big Data and applications in Biology: Data and Information Fusion, Genetic Algorithms, Machine Learning, Scalable Algorithms, Simulation and Modeling, Dimensionality Reduction Techniques, Multidimensional Big Data - Biological Big Data Fundamentals: Novel Computational Methodologies, Algorithms for Enhancing Data Quality, Graph Algorithms and Big Data, Computational Intelligence - Infrastructures for Big Data and Bioinformatics: Cloud and Grid Based Infrastructures, High Performance Computing, Parallel & Distributed Processing, Software and Tools for Big Data, Emerging Architectural Frameworks for Big Data - Big Data Management: Database and Web Applications, Distributed Database Systems, Distributed File Systems, Data Fusion and Integration, Data Management Methods - Big Data Search & Mining Methods: Data Mining, Information Mining, Scalable Search Architectures, Cleaning Big Data,, Visualization Methods for Search, Time Series Analysis, Graph Mining and Other Similar Technologies. SUBMISSION OF PAPERS: Prospective authors are invited to submit their papers by uploading them to: http://world-comp.org/elsevier-morgan-kaufman-CBB/ Submissions must be received by no later than September 15, 2015 and must be in either, MS doc or pdf format. Although we do not have a specific page limit, we anticipate that a typical paper would be about 10 pages long. At this point, all reasonable typesetting formats are acceptable; however, authors of accepted papers will later be asked to follow a particular typesetting format/instructions to prepare their papers for publication/press. Papers must not have been previously published or currently submitted for publication elsewhere. However, we will consider and encourage submissions that are the EXTENDED versions of already published conference papers. The first page of the paper should include: title of the paper, authors' names, their affiliations, city and country. The first page should also identify the name of the Contact Author and a maximum of 5 topical keywords that would best represent the content of the paper. For each author, his/her email address should also be provided. Papers will be evaluated for originality, significance, clarity, impact, and soundness. Each paper will be refereed by at least two experts in the field. The referees' evaluations will then be reviewed by the editors who will recommend a decision. This invitation is also being sent to selected authors of CSCI and BIOCOMP annual conferences as well as to authors of other relevant conferences giving such authors the opportunity to submit the extended versions of their papers for publication consideration in this book series. In addition, this invitation is also being sent to various listservs whose subscribers may include authors who wish to submit papers to this book. HISTORY: In recent years, the same co-editors composed the following books in the subject matter: http://www.springer.com/life+sciences/biochemistry+%26+biophysics/book/978-1-4419-5912-6 http://www.springer.com/life+sciences/systems+biology+and+bioinformatics/book/978-1-4419-7045-9 http://www.elsevier.com/books/emerging-trends-in-computational-biology-bioinformatics-and-systems-biology/tran/978-0-12-802508-6 Two of the above books are now among the top 20% most downloaded books based on the publisher's record. We are hoping that this new book will be at least as successful as the above books. EDITORIAL BOARD: This book's editorial board is composed of the program committees of: BIOCOMP 2014 and 2015: http://www.world-academy-of-science.org/worldcomp14/ws/conferences/biocomp14/committee http://www.worldacademyofscience.org/worldcomp15/ws/conferences/biocomp15/committee We will seek the help of additional experts as needs arise. This book solicits papers from all researchers (ie, not only from particular conferences). CO-EDITORS: Prof. Quoc-Nam Tran, PhD Professor and Chair, Department of Computer Science, The University of South Dakota, South Dakota, USA email: quocnam.tran@usd.edu Prof. Hamid R. Arabnia, PhD Professor of Computer Science and Fellow of Int'l Society of Intelligent Biological Medicine (ISIBM); Editor, Emerging Trends in Computer Science and Applied Computing (Elsevier) The University of Georgia, Department of Computer Science, Georgia, USA email: hra@world-comp.org IMPORTANT DEADLINES: Paper Submission (about 10 pages): September 15, 2015 Notification of acceptance: About 3 weeks after a paper is submitted. However, we intend to send all notifications by October 10, 2015 Submission of final paper for publication: October 20, 2015 Signed Copyright/Consent form: October 20, 2015 Publisher: Elsevier (MK imprints) Science Citation Indexing: Subject to relevant Elsevier indexing products which includes, Medline, Scopus, EMBASE, BIOSIS, Biological Abstracts and others. Title of book: "Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology" (Sub-title: Systems & Applications) CONTACT INFORMATION: Inquiries should be sent to sc@world-comp.org |