Advances in Bioinformatics, Biostatistics and Omic Sciences

Advances in Bioinformatics, Biostatistics and Omic Sciences

Author: Luigi Donato

Publisher: Bentham Science Publishers

Published: 2020-11-30

Total Pages: 148

ISBN-13: 9811481784

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Bioinformatics, and by extension omic sciences – the collective disciplines that are dependent on the use of extensive datasets of biological information – present a challenge of data management for researchers all over the world. Big data collected as part of research projects and experiments can be complex, with several kinds of variables involved. Coupled with continuously changing bioinformatics and information technology tools, there is a need to bring a multidisciplinary approach into these fields. Advances in Bioinformatics, Biostatistics and Omic Sciences attempts to realize an integrated approach between all omic sciences, exploring innovative bioinformatics and biostatistical methodologies which enable researchers to unveil hidden sides of biological phenomena. This volume presents reviews on the following topics which give a glimpse of recent advances in the field: - New Integrated Mitochondrial DNA Bioinformatics Pipeline to Improve Quality Assessment of Putative Pathogenic Variants from NGS Experiments - Variant Calling on RNA Sequencing Data: State of Art and Future Perspectives - An innovative Gene Prioritization Pipeline for WES analyses - New Integrated Differential Expression Approach for RNA-Seq Data Analysis - Innovations in Data Visualization for Straightforward Interpretation of Nucleic Acid Omics Outcomes This volume serves as a guide for graduate students in bioinformatics as well as researchers planning new projects as a part of their professional and academic activities.


Book Synopsis Advances in Bioinformatics, Biostatistics and Omic Sciences by : Luigi Donato

Download or read book Advances in Bioinformatics, Biostatistics and Omic Sciences written by Luigi Donato and published by Bentham Science Publishers. This book was released on 2020-11-30 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics, and by extension omic sciences – the collective disciplines that are dependent on the use of extensive datasets of biological information – present a challenge of data management for researchers all over the world. Big data collected as part of research projects and experiments can be complex, with several kinds of variables involved. Coupled with continuously changing bioinformatics and information technology tools, there is a need to bring a multidisciplinary approach into these fields. Advances in Bioinformatics, Biostatistics and Omic Sciences attempts to realize an integrated approach between all omic sciences, exploring innovative bioinformatics and biostatistical methodologies which enable researchers to unveil hidden sides of biological phenomena. This volume presents reviews on the following topics which give a glimpse of recent advances in the field: - New Integrated Mitochondrial DNA Bioinformatics Pipeline to Improve Quality Assessment of Putative Pathogenic Variants from NGS Experiments - Variant Calling on RNA Sequencing Data: State of Art and Future Perspectives - An innovative Gene Prioritization Pipeline for WES analyses - New Integrated Differential Expression Approach for RNA-Seq Data Analysis - Innovations in Data Visualization for Straightforward Interpretation of Nucleic Acid Omics Outcomes This volume serves as a guide for graduate students in bioinformatics as well as researchers planning new projects as a part of their professional and academic activities.


New Developments in Biostatistics and Bioinformatics

New Developments in Biostatistics and Bioinformatics

Author:

Publisher:

Published:

Total Pages:

ISBN-13: 9814469092

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Book Synopsis New Developments in Biostatistics and Bioinformatics by :

Download or read book New Developments in Biostatistics and Bioinformatics written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Advances in Bioinformatics and Its Applications

Advances in Bioinformatics and Its Applications

Author: Matthew He

Publisher: World Scientific Publishing Company Incorporated

Published: 2005

Total Pages: 615

ISBN-13: 9789812561480

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This unique volume presents major developments and trends in bioinformatics and its applications, Comprising high-quality scientific research papers and state-of-the-art survey articles, the book has been divided into three main sections: Sequences, Structures, and Functions; Pathways, Biological Networks, and System Biology; and Microarray Data, Medical Informatics, and Applications. These results of these investigations help the practicing biologist in many ways: in identifying unknown connections, in narrowing down possibilities fora search, in suggesting new hypotheses, designing new experiments validating existing models or proposing new ones. It is an essential source of reference for researchers and graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences based on selected papers from the "The International Conference on Bioinformatics and Its Application" (ICBA), held December 16-19 2004 in Fort Lauderdale, Florida, USA.


Book Synopsis Advances in Bioinformatics and Its Applications by : Matthew He

Download or read book Advances in Bioinformatics and Its Applications written by Matthew He and published by World Scientific Publishing Company Incorporated. This book was released on 2005 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume presents major developments and trends in bioinformatics and its applications, Comprising high-quality scientific research papers and state-of-the-art survey articles, the book has been divided into three main sections: Sequences, Structures, and Functions; Pathways, Biological Networks, and System Biology; and Microarray Data, Medical Informatics, and Applications. These results of these investigations help the practicing biologist in many ways: in identifying unknown connections, in narrowing down possibilities fora search, in suggesting new hypotheses, designing new experiments validating existing models or proposing new ones. It is an essential source of reference for researchers and graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences based on selected papers from the "The International Conference on Bioinformatics and Its Application" (ICBA), held December 16-19 2004 in Fort Lauderdale, Florida, USA.


New Frontiers of Biostatistics and Bioinformatics

New Frontiers of Biostatistics and Bioinformatics

Author: Yichuan Zhao

Publisher: Springer

Published: 2018-12-05

Total Pages: 463

ISBN-13: 3319993895

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This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.


Book Synopsis New Frontiers of Biostatistics and Bioinformatics by : Yichuan Zhao

Download or read book New Frontiers of Biostatistics and Bioinformatics written by Yichuan Zhao and published by Springer. This book was released on 2018-12-05 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.


Advances in Bioinformatics and Its Applications

Advances in Bioinformatics and Its Applications

Author: Matthew He

Publisher: World Scientific

Published: 2005-05-03

Total Pages: 632

ISBN-13: 9814481017

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This unique volume presents major developments and trends in bioinformatics and its applications. Comprising high-quality scientific research papers and state-of-the-art survey articles, the book has been divided into five main sections: Microarray Analysis and Regulatory Networks; Machine Learning and Statistical Analysis; Biomolecular Sequence and Structure Analysis; Symmetry in Sequences; and Signal Processing, Image Processing and Visualization. The results of these investigations help the practicing biologist in many ways: in identifying unknown connections, in narrowing down possibilities for a search, in suggesting new hypotheses, designing new experiments, validating existing models or proposing new ones. It is an essential source of reference for researchers and graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences based on select papers from the “The International Conference on Bioinformatics and Its Application” (ICBA), held December 16–19, 2004 in Fort Lauderdale, Florida, USA. Contents:Microarray Analysis and Regulatory NetworksMachine Learning and Statistical AnalysesBiomolecular Sequence and Structure AnalysisSymmetry in SequencesSignal Processing, Image Processing and Visualization Readership: Researchers and graduate students in bioinformatics, computer science, mathematics and biological sciences. Keywords:Bioinformatics;Mathematical Biology;Genetic Codes;Medical Informatics;Biological Networks;System BiologyKey Features:High quality collection of recent significant advances in bioinformaticsUnique collection of articles on symmetry of genetic code and pattern discoveryWide coverage of bioinformatics applications including computational epidemiologySignificant computational algorithms and statistical analysis of genomic/proteomic data


Book Synopsis Advances in Bioinformatics and Its Applications by : Matthew He

Download or read book Advances in Bioinformatics and Its Applications written by Matthew He and published by World Scientific. This book was released on 2005-05-03 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume presents major developments and trends in bioinformatics and its applications. Comprising high-quality scientific research papers and state-of-the-art survey articles, the book has been divided into five main sections: Microarray Analysis and Regulatory Networks; Machine Learning and Statistical Analysis; Biomolecular Sequence and Structure Analysis; Symmetry in Sequences; and Signal Processing, Image Processing and Visualization. The results of these investigations help the practicing biologist in many ways: in identifying unknown connections, in narrowing down possibilities for a search, in suggesting new hypotheses, designing new experiments, validating existing models or proposing new ones. It is an essential source of reference for researchers and graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences based on select papers from the “The International Conference on Bioinformatics and Its Application” (ICBA), held December 16–19, 2004 in Fort Lauderdale, Florida, USA. Contents:Microarray Analysis and Regulatory NetworksMachine Learning and Statistical AnalysesBiomolecular Sequence and Structure AnalysisSymmetry in SequencesSignal Processing, Image Processing and Visualization Readership: Researchers and graduate students in bioinformatics, computer science, mathematics and biological sciences. Keywords:Bioinformatics;Mathematical Biology;Genetic Codes;Medical Informatics;Biological Networks;System BiologyKey Features:High quality collection of recent significant advances in bioinformaticsUnique collection of articles on symmetry of genetic code and pattern discoveryWide coverage of bioinformatics applications including computational epidemiologySignificant computational algorithms and statistical analysis of genomic/proteomic data


Computational Intelligence Methods for Bioinformatics and Biostatistics

Computational Intelligence Methods for Bioinformatics and Biostatistics

Author: Enrico Formenti

Publisher: Springer

Published: 2014-07-15

Total Pages: 281

ISBN-13: 3319090429

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This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science.


Book Synopsis Computational Intelligence Methods for Bioinformatics and Biostatistics by : Enrico Formenti

Download or read book Computational Intelligence Methods for Bioinformatics and Biostatistics written by Enrico Formenti and published by Springer. This book was released on 2014-07-15 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science.


Advances in Statistical Bioinformatics

Advances in Statistical Bioinformatics

Author: Kim-Anh Do

Publisher: Cambridge University Press

Published: 2013-06-10

Total Pages: 499

ISBN-13: 1107027527

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This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.


Book Synopsis Advances in Statistical Bioinformatics by : Kim-Anh Do

Download or read book Advances in Statistical Bioinformatics written by Kim-Anh Do and published by Cambridge University Press. This book was released on 2013-06-10 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.


Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics

Author: Henry Horng-Shing Lu

Publisher: Springer Nature

Published: 2022-12-08

Total Pages: 406

ISBN-13: 3662659026

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Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.


Book Synopsis Handbook of Statistical Bioinformatics by : Henry Horng-Shing Lu

Download or read book Handbook of Statistical Bioinformatics written by Henry Horng-Shing Lu and published by Springer Nature. This book was released on 2022-12-08 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.


New Developments in Biostatistics and Bioinformatics

New Developments in Biostatistics and Bioinformatics

Author: Jianqing Fan;Xihong Lin;Jun S. Liu

Publisher:

Published:

Total Pages: 272

ISBN-13: 9787894236333

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This book presents an overview of recent developments in biostatistics and bioinformatics. Written by active researchers in these emerging areas, it is intended to give graduate students and new researchers an idea of where the frontiers of biostatistics and bioinformatics are as well as a forum to learn common techniques in use, so that they can advance the fields via developing new techniques and new results. Extensive references are provided so that researchers can follow the threads to learn more comprehensively what the literature is and to conduct their own research. In particulars, the book covers three important and rapidly advancing topics in biostatistics: analysis of survival and longitudinal data, statistical methods for epidemiology, and bioinformatics.


Book Synopsis New Developments in Biostatistics and Bioinformatics by : Jianqing Fan;Xihong Lin;Jun S. Liu

Download or read book New Developments in Biostatistics and Bioinformatics written by Jianqing Fan;Xihong Lin;Jun S. Liu and published by . This book was released on with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of recent developments in biostatistics and bioinformatics. Written by active researchers in these emerging areas, it is intended to give graduate students and new researchers an idea of where the frontiers of biostatistics and bioinformatics are as well as a forum to learn common techniques in use, so that they can advance the fields via developing new techniques and new results. Extensive references are provided so that researchers can follow the threads to learn more comprehensively what the literature is and to conduct their own research. In particulars, the book covers three important and rapidly advancing topics in biostatistics: analysis of survival and longitudinal data, statistical methods for epidemiology, and bioinformatics.


Statistical Bioinformatics

Statistical Bioinformatics

Author: Jae K. Lee

Publisher: John Wiley & Sons

Published: 2011-09-20

Total Pages: 337

ISBN-13: 1118211529

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This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.


Book Synopsis Statistical Bioinformatics by : Jae K. Lee

Download or read book Statistical Bioinformatics written by Jae K. Lee and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.