Integrative Bioinformatics Approaches For Dynamic Time Series And Steady State Transcriptome Microarray Data
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Methods of Microarray Data Analysis V
| Author | : Patrick McConnell |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 186 |
| Release | : 2007-02-24 |
| Genre | : Science |
| ISBN | : 0387345698 |
This book is dedicated solely to the analysis of microarray data. Its unique approach of presenting different methods by analyzing the same data set shows the strengths and weakness of each method. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches. It also presents some background readings for the advanced topics discussed in the CAMDA papers.
Probabilistic Boolean Networks
| Author | : Ilya Shmulevich |
| Publisher | : SIAM |
| Total Pages | : 276 |
| Release | : 2010-01-21 |
| Genre | : Mathematics |
| ISBN | : 0898716926 |
The first comprehensive treatment of probabilistic Boolean networks, unifying different strands of current research and addressing emerging issues.
The Analysis of Gene Expression Data
| Author | : Giovanni Parmigiani |
| Publisher | : Springer |
| Total Pages | : 456 |
| Release | : 2013-05-05 |
| Genre | : Medical |
| ISBN | : 9781475781243 |
This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.
Gene Network Inference
| Author | : Alberto Fuente |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 135 |
| Release | : 2014-01-03 |
| Genre | : Science |
| ISBN | : 3642451616 |
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.
Gene Quantification
| Author | : Francois Ferre |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 379 |
| Release | : 2012-12-06 |
| Genre | : Medical |
| ISBN | : 1461241642 |
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.
Epigenetic Regulation in the Nervous System
| Author | : J. David Sweatt |
| Publisher | : Academic Press |
| Total Pages | : 374 |
| Release | : 2012-12-31 |
| Genre | : Science |
| ISBN | : 0123944058 |
Epigenetic Regulation in the Nervous System addresses current understanding of the roles of epigenetic processes at the molecular/cellular level, their impact on neural development and behavior, and the potential roles of these mechanisms in neurological and psychiatric disorders. This award-winning volume spans molecular epigenetics, development, cellular physiology and biochemistry, synaptic and neural plasticity, and behavioral models, and is unique in covering epigenetically based disorders of the central nervous system. Behavioral epigenetics is the study of how environmental factors alter behavior, addressing the fundamental mechanisms that shape development and individual vulnerability/resilience to adverse behavioral outcomes. By understanding the molecular mechanisms involved in epigenetic modulation, researchers may be able to develop targeted therapies for those individuals in whom it malfunctions. Edited by the most highly regarded leaders in the field, this book offers a comprehensive review of behavioral epigenetics and a balanced treatment of the strengths and weaknesses in experimentation in this area. Covering background material as well as topics of current interest, it serves both as a cutting-edge resource and a foundational reference. The book will benefit neuroscience researchers and graduate students with an interest in the links between gene regulation and behavior, as will clinicians dealing with disorders such as addiction, depression, and schizophrenia. BMA Medical Book Awards 2014 - Highly Commended, Neurology, British Medical Association BMA Medical Book Awards 2014 - First Prize, Neurology, British Medical Association 2013 PROSE Award winner for Best in Reference Works and Best Single Volume Reference in Science from the Association of American Publishers Presents a unified view of epigenetic mechanisms from behavior to genes and everything in between Discusses clinically relevant disorders in the context of epigenetics research, making the volume appealing to clinicians as well as basic scientists Provides numerous practical examples for the new investigator to facilitate implementation of research in neuroepigenetics
Systems Genetics
| Author | : Florian Markowetz |
| Publisher | : Cambridge University Press |
| Total Pages | : 287 |
| Release | : 2015-07-02 |
| Genre | : Science |
| ISBN | : 131638098X |
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.
Bioinformatics and Computational Biology
| Author | : Tiratha Raj Singh |
| Publisher | : CRC Press |
| Total Pages | : 376 |
| Release | : 2023-12-13 |
| Genre | : Computers |
| ISBN | : 1003813208 |
Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions. The book offers comprehensive coverage of the most essential and emerging topics: Cloud-based monitoring of bioinformatics multivariate data with cloud platforms Machine learning and deep learning in bioinformatics Quantum machine learning for biological applications Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases Biomedical engineering Next generation sequencing techniques and applications Computational systems biology and molecular evolution While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.
