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Sequence Analysis In A Nutshell A Guide To Tools
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Book Synopsis Sequence Analysis in a Nutshell: A Guide to Tools by : Scott Markel
Download or read book Sequence Analysis in a Nutshell: A Guide to Tools written by Scott Markel and published by "O'Reilly Media, Inc.". This book was released on 2003-01-27 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work pulls together all of the vital information about the most commonly used databases, analytical tools, and tables used in sequence analysis.
Book Synopsis Genomics and Bioinformatics by : Tore Samuelsson
Download or read book Genomics and Bioinformatics written by Tore Samuelsson and published by Cambridge University Press. This book was released on 2012-06-07 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on introduction to Unix, Perl and other bioinformatics tools using relevant and interesting molecular biology problems.
Download or read book BLAST written by Ian Korf and published by "O'Reilly Media, Inc.". This book was released on 2003-07-29 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the only book completely devoted to the popular BLAST (Basic Local Alignment Search Tool), and one that every biologist with an interest in sequence analysis should learn from.
Author :Yi-Ping Phoebe Chen Publisher :Springer Science & Business Media ISBN 13 :9783540208730 Total Pages :420 pages Book Rating :4.2/5 (87 download)
Book Synopsis Bioinformatics Technologies by : Yi-Ping Phoebe Chen
Download or read book Bioinformatics Technologies written by Yi-Ping Phoebe Chen and published by Springer Science & Business Media. This book was released on 2005-01-18 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductio to bioinformatics. Overview of structural bioinformatics. Database warehousing in bioinformatics. Modeling for bioinformatics. Pattern matching for motifs. Visualization and fractal analysis of biological sequences. Microarray data analysis.
Book Synopsis Introduction to Data Mining for the Life Sciences by : Rob Sullivan
Download or read book Introduction to Data Mining for the Life Sciences written by Rob Sullivan and published by Springer Science & Business Media. This book was released on 2012-01-07 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.
Download or read book Sequence Analysis written by Marcel Raab and published by SAGE Publications. This book was released on 2022-04-04 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequence analysis (SA) was developed to study social processes that unfold over time as sequences of events. It has gained increasing attention as the availability of longitudinal data made it possible to address sequence-oriented questions. This volume introduces the basics of SA to guide practitioners and support instructors through the basic workflow of sequence analysis. In addition to the basics, this book outlines recent advances and innovations in SA. The presentation of statistical, substantive, and theoretical foundations is enriched by examples to help the reader understand the repercussions of specific analytical choices. The extensive ancillary material supports self-learning based on real-world survey data and research questions from the field of life course research. Data and code and a variety of additional resources to enrich the use of this book are available on an accompanying website.
Book Synopsis Biological Sequence Analysis by : Richard Durbin
Download or read book Biological Sequence Analysis written by Richard Durbin and published by Cambridge University Press. This book was released on 1998-04-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Book Synopsis In Silico Technologies in Drug Target Identification and Validation by : Darryl Leon
Download or read book In Silico Technologies in Drug Target Identification and Validation written by Darryl Leon and published by CRC Press. This book was released on 2006-06-13 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Ide
Book Synopsis Handbook of Data Analysis by : Melissa A Hardy
Download or read book Handbook of Data Analysis written by Melissa A Hardy and published by SAGE. This book was released on 2009-06-17 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.
Book Synopsis Sequence — Evolution — Function by : Eugene V. Koonin
Download or read book Sequence — Evolution — Function written by Eugene V. Koonin and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.
Book Synopsis Social Sequence Analysis by : Benjamin Cornwell
Download or read book Social Sequence Analysis written by Benjamin Cornwell and published by Cambridge University Press. This book was released on 2015-08-06 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social sequence analysis includes a diverse and rapidly growing body of methods that social scientists have developed to help study complex ordered social processes, including chains of transitions, trajectories and other ordered phenomena. Social sequence analysis is not limited by content or time scale and can be used in many different fields, including sociology, communication, information science and psychology. Social Sequence Analysis aims to bring together both foundational and recent theoretical and methodological work on social sequences from the last thirty years. A unique reference book for a new generation of social scientists, this book will aid demographers who study life-course trajectories and family histories, sociologists who study career paths or work/family schedules, communication scholars and micro-sociologists who study conversation, interaction structures and small-group dynamics, as well as social epidemiologists.
Download or read book Membrane Transporters written by Qing Yan and published by Springer Science & Business Media. This book was released on 2008-02-02 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies of membrane transporters have had great impact on our und- standing human diseases and the design of effective drugs. About 30% of current clinically marketed drugs are targeting membrane transporters or channels. Membrane Transporters: Methods and Protocols provides various practical methodologies for the ongoing research on membrane transporters. To provide readers the most up-to-date information, several emerging fields and methodologies are embraced in this book, including pharmacogenomics, bioin-formatics, and microarray technology. Pharmacogenomics studies of membrane transporters are useful in drug discovery and in predicting drug responses in the clinic. In this volume, the current status of pharma- genomics studies of transporters is reviewed and research methodologies in this field are described. Transporter classification is important in studying the structure and function of membrane transporters and has thus triggered intensive interest in recent years. Membrane Transporters: Methods and Protocols provides a systematic classification of all transmembrane transport proteins found in living org- isms on Earth. This classification system will be helpful for further studies on various aspects of membrane transporters, especially for such large-scale gene expression studies as those employing microarray technologies. Bioinformatics is frequently used in transporter studies and has become indispensable for all kinds of research methods. Commonly used bio- formatics methods, such as databases and tools for sequence analysis and - tif studies, are explained in order to facilitate membrane transporters research. Because of heterogeneous sources and tremendous amounts of data, data in- gration has become one of the most important issues in transporter studies.
Book Synopsis Advances in Bioinformatics by : Vijai Singh
Download or read book Advances in Bioinformatics written by Vijai Singh and published by Springer Nature. This book was released on with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence and Machine Learning in Drug Design and Development by : Abhirup Khanna
Download or read book Artificial Intelligence and Machine Learning in Drug Design and Development written by Abhirup Khanna and published by John Wiley & Sons. This book was released on 2024-06-21 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
Book Synopsis Basic Applied Bioinformatics by : Chandra Sekhar Mukhopadhyay
Download or read book Basic Applied Bioinformatics written by Chandra Sekhar Mukhopadhyay and published by John Wiley & Sons. This book was released on 2017-09-15 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the results. In addition to parameter optimization, the text will also familiarize students with relevant terminology. Basic Applied Bioinformatics is written as an accessible guide for graduate students studying bioinformatics, biotechnology, and other related sub-disciplines of the life sciences. This accessible text outlines the basics of bioinformatics, including pertinent information such as downloading molecular sequences (nucleotide and protein) from databases; BLAST analyses; primer designing and its quality checking, multiple sequence alignment (global and local using freely available software); phylogenetic tree construction (using UPGMA, NJ, MP, ME, FM algorithm and MEGA7 suite), prediction of protein structures and genome annotation, RNASeq data analyses and identification of differentially expressed genes and similar advanced bioinformatics analyses. The authors Chandra Sekhar Mukhopadhyay, Ratan Kumar Choudhary, and Mir Asif Iquebal are noted experts in the field and have come together to provide an updated information on bioinformatics. Salient features of this book includes: Accessible and updated information on bioinformatics tools A practical step-by-step approach to molecular-data analyses Information pertinent to study a variety of disciplines including biotechnology, zoology, bioinformatics and other related fields Worked examples, glossary terms, problems and solutions Basic Applied Bioinformatics gives students studying bioinformatics, agricultural biotechnology, animal biotechnology, medical biotechnology, microbial biotechnology, and zoology an updated introduction to the growing field of bioinformatics.
Book Synopsis Molecular Biomethods Handbook by : John M. Walker
Download or read book Molecular Biomethods Handbook written by John M. Walker and published by Springer Science & Business Media. This book was released on 2008-11-04 with total page 1105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in the biosciences have led to a range of powerful new technologies, particularly nucleic acid, protein and cell-based methodologies. The most recent insights have come to affect how scientists investigate and define cellular processes at the molecular level. This book expands upon the techniques included in the first edition, providing theory, outlines of practical procedures, and applications for a range of techniques. Written by a well-established panel of research scientists, the book provides an up-to-date collection of methods used regularly in the authors’ own research programs.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :152258904X Total Pages :2220 pages Book Rating :4.5/5 (225 download)
Book Synopsis Biotechnology: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Biotechnology: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-06-07 with total page 2220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.
