Download or read book Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome written by Shruti Mishra and published by Academic Press. This book was released on 2018-05-09 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome helps readers identify and select the specific genes causing oncogenes. The book also addresses the validation of the selected genes using various classification techniques and performance metrics, making it a valuable source for cancer researchers, bioinformaticians, and researchers from diverse fields interested in applying systems biology approaches to their studies. - Provides well described techniques for the purpose of gene selection/feature selection for the generation of gene subsets - Presents and analyzes three different types of gene selection algorithms: Support Vector Machine-Bayesian T-Test-Recursive Feature Elimination (SVM-BT-RFE), Canonical Correlation Analysis-Trace Ratio (CCA-TR), and Signal-To-Noise Ratio-Trace Ratio (SNRTR) - Consolidates fundamental knowledge on gene datasets and current techniques on gene regulatory networks into a single resource

Download or read book Gene Network Inference written by Alberto Fuente and published by Springer Science & Business Media. This book was released on 2014-01-03 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

Download or read book Systems Immunology and Infection Microbiology written by Bor-Sen Chen and published by Academic Press. This book was released on 2021-03-16 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Immunology and Infection Microbiology provides a large amount of biological system models, diagrams and flowcharts to illustrate development procedures and help users understand the results of systems immunology and infection microbiology. Chapters discuss systems immunology, systems infection microbiology, systematic inflammation and immune responses in restoration and regeneration process, systems' innate and adaptive immunity in infection process, systematic genetic and epigenetic pathogenic/defensive mechanism during bacterial infection on human cells is introduced, and the systematic genetic and epigenetic pathogenic/defensive mechanisms during viral infection on human cells. This book provides new big data-driven and systems-driven systems immunology and infection microbiology to researchers applying systems biology and bioinformatics in their work. It is also invaluable to several members of biomedical field who are interested in learning more about those approaches. - Encompasses one applicable example in every chapter to illustrate the solution procedure from big data mining, network modeling, host/pathogen cross-talk detection, drug target identification and systems drug design - Presents flowcharts to represent the development procedure of systematic immunology and infection in a very clear format - Contains 100 color diagrams to help readers understand the related biological networks, their corresponding mechanisms, and significant network biomarkers for therapeutic drug design

Download or read book Genomic Control Process written by Isabelle S. Peter and published by Academic Press. This book was released on 2015-01-21 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic Control Process explores the biological phenomena around genomic regulatory systems that control and shape animal development processes, and which determine the nature of evolutionary processes that affect body plan. Unifying and simplifying the descriptions of development and evolution by focusing on the causality in these processes, it provides a comprehensive method of considering genomic control across diverse biological processes. This book is essential for graduate researchers in genomics, systems biology and molecular biology seeking to understand deep biological processes which regulate the structure of animals during development. - Covers a vast area of current biological research to produce a genome oriented regulatory bioscience of animal life - Places gene regulation, embryonic and postembryonic development, and evolution of the body plan in a unified conceptual framework - Provides the conceptual keys to interpret a broad developmental and evolutionary landscape with precise experimental illustrations drawn from contemporary literature - Includes a range of material, from developmental phenomenology to quantitative and logic models, from phylogenetics to the molecular biology of gene regulation, from animal models of all kinds to evidence of every relevant type - Demonstrates the causal power of system-level understanding of genomic control process - Conceptually organizes a constellation of complex and diverse biological phenomena - Investigates fundamental developmental control system logic in diverse circumstances and expresses these in conceptual models - Explores mechanistic evolutionary processes, illuminating the evolutionary consequences of developmental control systems as they are encoded in the genome

Download or read book Epigenetics Methods written by Trygve O Tollefsbol and published by Academic Press. This book was released on 2020-07-08 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the field of epigenetics has grown significantly, driving new understanding of human developmental processes and disease expression, as well as advances in diagnostics and therapeutics. As the field of epigenetics continues to grow, methods and technologies have multiplied, resulting in a wide range of approaches and tools researchers might employ. Epigenetics Methods offers comprehensive instruction in methods, protocols, and experimental approaches applied in field of epigenetics. Here, across thirty-five chapters, specialists offer step-by-step overviews of methods used to study various epigenetic mechanisms, as employed in basic and translational research. Leading the reader from fundamental to more advanced methods, the book begins with thorough instruction in DNA methylation techniques and gene or locus-specific methylation analyses, followed by histone modification methods, chromatin evaluation, enzyme analyses of histone methylation, and studies of non-coding RNAs as epigenetic modulators. Recently developed techniques and technologies discussed include single-cell epigenomics, epigenetic editing, computational epigenetics, systems biology epigenetic methods, and forensic epigenetic approaches. Epigenetics methods currently in-development, and their implication for future research, are also considered in-depth. In addition, as with the wider life sciences, reproducibility across experiments, labs, and subdisciplines is a growing issue for epigenetics researchers. This volume provides consensus-driven methods instruction and overviews. Tollefsbol and contributing authors survey the range of existing methods; identify best practices, common themes, and challenges; and bring unity of approach to a diverse and ever-evolving field. - Includes contributions by leading international investigators involved in epigenetic research and clinical and therapeutic application - Integrates technology and translation with fundamental chapters on epigenetics methods, as well as chapters on more novel and advanced epigenetics methods - Written at verbal and technical levels that can be understood by scientists and students alike - Includes chapters on state-of-the-art techniques such as single-cell epigenomics, use of CRISPR/Cas9 for epigenetic editing, and epigenetics methods applied to forensics

Download or read book Computational Genomics with R written by Altuna Akalin and published by CRC Press. This book was released on 2020-12-16 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.

Download or read book Gene Quantification written by Francois Ferre and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geneticists and molecular biologists have been interested in quantifying genes and their products for many years and for various reasons (Bishop, 1974). Early molecular methods were based on molecular hybridization, and were devised shortly after Marmur and Doty (1961) first showed that denaturation of the double helix could be reversed - that the process of molecular reassociation was exquisitely sequence dependent. Gillespie and Spiegelman (1965) developed a way of using the method to titrate the number of copies of a probe within a target sequence in which the target sequence was fixed to a membrane support prior to hybridization with the probe - typically a RNA. Thus, this was a precursor to many of the methods still in use, and indeed under development, today. Early examples of the application of these methods included the measurement of the copy numbers in gene families such as the ribosomal genes and the immunoglo bulin family. Amplification of genes in tumors and in response to drug treatment was discovered by this method. In the same period, methods were invented for estimating gene num bers based on the kinetics of the reassociation process - the so-called Cot analysis. This method, which exploits the dependence of the rate of reassociation on the concentration of the two strands, revealed the presence of repeated sequences in the DNA of higher eukaryotes (Britten and Kohne, 1968). An adaptation to RNA, Rot analysis (Melli and Bishop, 1969), was used to measure the abundance of RNAs in a mixed population.

Download or read book Integrating Omics Data written by George Tseng and published by Cambridge University Press. This book was released on 2015-09-23 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.

Download or read book Intelligent Systems and Data Science written by Nguyen Thai-Nghe and published by Springer Nature. This book was released on 2023-10-30 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023. The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: ​applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.

Download or read book Computational Systems Biology of Cancer written by Emmanuel Barillot and published by CRC Press. This book was released on 2012-08-25 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.

Download or read book The Epigenome written by Stephan Beck and published by Wiley-Blackwell. This book was released on 2005-03-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book that describes the role of the Epigenome (cytosine methylation) in the interplay between nature and nurture. It focuses and stimulates interest in what will be one of the most exciting areas of post-sequencing genome science: the relationship between genetics and the environment. Written by the most reputable authors in the field, this book is essential reading for researchers interested in the science arising from the human genome sequence and its implications on health care, industry and society.

Download or read book Transplantation Bioengineering and Regeneration of the Endocrine Pancreas written by Giuseppe Orlando and published by Academic Press. This book was released on 2019-11-10 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transplantation, Bioengineering, and Regeneration of the Endocrine Pancreas, Volume 2, sets a new standard in transplant and regenerative medicine. The book details the state-of-the-art in modern islet auto-transplantation, also discussing current progress in regenerative medicine research in diabetes medicine. Regenerative medicine is changing the premise of solid organ transplantation, hence this volume catalogs technologies being developed and methods being implemented. Bioengineering and regenerating beta cells, clinical pancreas and islet transplantation, tissue engineering, biomaterial sciences, stem cell biology and developmental biology are all addressed and applied directly to diabetes medicine. - Provides comprehensive and cutting-edge knowledge of whole pancreas and islet transplantation - Addresses imaging, treatment, scaffold technology, the use of stem cells to generate insulin, 3D printing, and more - Offers an update on the progress of regenerative medicine research aimed at beta cell replacement for the treatment of diabetes

Download or read book Echinoderms Part B written by and published by Academic Press. This book was released on 2019-04-02 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Echinoderms, Volume 151, the latest release in the Methods in Cell Biology series, highlights advances in the field, with this update presenting chapters on Echinoderm Genome Databases, analysis of gene regulatory networks, using ATAC-seq and RNA-seq to increase resolution in GRN connectivity, multiplex cis-regulatory analysis, experimental approaches GRN/signal pathways, BACs, analysis of chromatin accessibility using ATAC-seq, analysis of sea urchin proteins /Click IT, CRISPR/Cas9-mediated genome editing in sea urchins, super-resolution and in toto imaging of echinoderm embryos, and methods for analysis of intracellular ion signals in sperm, eggs and embryos. - Presents clear, concise protocols provided by experts who have established the echinoderms as a model systems - Highlights new advances in the field, with this update presenting interesting chapters on echinoderms

Download or read book Systems Genetics written by Florian Markowetz and published by Cambridge University Press. This book was released on 2015-07-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies.

Download or read book Handbook of Evolutionary Thinking in the Sciences written by Thomas Heams and published by Springer. This book was released on 2014-11-23 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Darwinian theory of evolution is itself evolving and this book presents the details of the core of modern Darwinism and its latest developmental directions. The authors present current scientific work addressing theoretical problems and challenges in four sections, beginning with the concepts of evolution theory, its processes of variation, heredity, selection, adaptation and function, and its patterns of character, species, descent and life. The second part of this book scrutinizes Darwinism in the philosophy of science and its usefulness in understanding ecosystems, whilst the third section deals with its application in disciplines beyond the biological sciences, including evolutionary psychology and evolutionary economics, Darwinian morality and phylolinguistics. The final section addresses anti-Darwinism, the creationist view and issues around teaching evolution in secondary schools. The reader learns how current experimental biology is opening important perspectives on the sources of variation, and thus of the very power of natural selection. This work examines numerous examples of the extension of the principle of natural selection and provides the opportunity to critically reflect on a rich theory, on the methodological rigour that presides in its extensions and exportations, and on the necessity to measure its advantages and also its limits. Scholars interested in modern Darwinism and scientific research, its concepts, research programs and controversies will find this book an excellent read, and those considering how Darwinism might evolve, how it can apply to the human sciences and other disciplines beyond its origins will find it particularly valuable. Originally produced in French (Les Mondes Darwiniens), the scope and usefulness of the book have led to the production of this English text, to reach a wider audience. This book is a milestone in the impressive penetration by Francophone scholars into the world of Darwinian science, its historiography and philosophy over the last two decades. Alex Rosenberg, R. Taylor Cole Professor of Philosophy, Duke University Until now this useful and comprehensive handbook has only been available to francophones. Thanks to this invaluable new translation, this collection of insightful and original essays can reach the global audience it deserves. Tim Lewens, University of Cambridge

Download or read book Genomics in the Cloud written by Geraldine A. Van der Auwera and published by O'Reilly Media. This book was released on 2020-04-02 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra

Download or read book Human Genetics and Genomics written by Bruce R. Korf and published by John Wiley & Sons. This book was released on 2012-11-19 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fourth edition of the best-selling textbook, Human Genetics and Genomics, clearly explains the key principles needed by medical and health sciences students, from the basis of molecular genetics, to clinical applications used in the treatment of both rare and common conditions. A newly expanded Part 1, Basic Principles of Human Genetics, focuses on introducing the reader to key concepts such as Mendelian principles, DNA replication and gene expression. Part 2, Genetics and Genomics in Medical Practice, uses case scenarios to help you engage with current genetic practice. Now featuring full-color diagrams, Human Genetics and Genomics has been rigorously updated to reflect today’s genetics teaching, and includes updated discussion of genetic risk assessment, “single gene” disorders and therapeutics. Key learning features include: Clinical snapshots to help relate science to practice 'Hot topics' boxes that focus on the latest developments in testing, assessment and treatment 'Ethical issues' boxes to prompt further thought and discussion on the implications of genetic developments 'Sources of information' boxes to assist with the practicalities of clinical research and information provision Self-assessment review questions in each chapter Accompanied by the Wiley E-Text digital edition (included in the price of the book), Human Genetics and Genomics is also fully supported by a suite of online resources at www.korfgenetics.com, including: Factsheets on 100 genetic disorders, ideal for study and exam preparation Interactive Multiple Choice Questions (MCQs) with feedback on all answers Links to online resources for further study Figures from the book available as PowerPoint slides, ideal for teaching purposes The perfect companion to the genetics component of both problem-based learning and integrated medical courses, Human Genetics and Genomics presents the ideal balance between the bio-molecular basis of genetics and clinical cases, and provides an invaluable overview for anyone wishing to engage with this fast-moving discipline.