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Computational Biology Of Non Coding Rna
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Book Synopsis Computational Non-coding RNA Biology by : Yun Zheng
Download or read book Computational Non-coding RNA Biology written by Yun Zheng and published by Academic Press. This book was released on 2018-09-14 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Non-coding RNA Biology is a resource for the computation of non-coding RNAs. The book covers computational methods for the identification and quantification of non-coding RNAs, including miRNAs, tasiRNAs, phasiRNAs, lariat originated circRNAs and back-spliced circRNAs, the identification of miRNA/siRNA targets, and the identification of mutations and editing sites in miRNAs. The book introduces basic ideas of computational methods, along with their detailed computational steps, a critical component in the development of high throughput sequencing technologies for identifying different classes of non-coding RNAs and predicting the possible functions of these molecules. Finding, quantifying, and visualizing non-coding RNAs from high throughput sequencing datasets at high volume is complex. Therefore, it is usually possible for biologists to complete all of the necessary steps for analysis. - Presents a comprehensive resource of computational methods for the identification and quantification of non-coding RNAs - Introduces 23 practical computational pipelines for various topics of non-coding RNAs - Provides a guide to assist biologists and other researchers dealing with complex datasets - Introduces basic computational methods and provides guidelines for their replication by researchers - Offers a solution to researchers approaching large and complex sequencing datasets
Book Synopsis Computational Biology of Non-Coding RNA by : Xin Lai
Download or read book Computational Biology of Non-Coding RNA written by Xin Lai and published by Humana. This book was released on 2025-01-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Small Non-Coding RNAs by : Mathieu Rederstorff
Download or read book Small Non-Coding RNAs written by Mathieu Rederstorff and published by Humana. This book was released on 2016-10-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains state-of-the-art methods tackling all aspects of small non-coding RNAs biology. Small Non-Coding RNAs: Methods and Protocols guides readers through customized dedicated protocols and technologies that will be of valuable help to all those willing to contribute deciphering the numerous functions of small non-coding RNAs. Written in the highly successful Methods of Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and key tips on troubles troubleshooting and avoiding known pitfalls. Instructive and practical, Small Non-Coding RNAs: Methods and Protocols reaches out to biochemists, cellular and molecular biologists already working in the field of RNA biology and to those just starting to study small non-coding RNAs.
Book Synopsis Long Non Coding RNA Biology by : M.R.S. Rao
Download or read book Long Non Coding RNA Biology written by M.R.S. Rao and published by Springer. This book was released on 2017-08-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume offers a comprehensive and detailed overview of the various aspects of long non-coding RNAs and discusses their emerging significance. Written by leading experts in the field, it motivates young researchers around the globe, and offers graduate and postgraduate students fascinating insights into genes and their regulation in eukaryotes and higher organisms.
Book Synopsis Computational Biology and Bioinformatics by : Ka-Chun Wong
Download or read book Computational Biology and Bioinformatics written by Ka-Chun Wong and published by CRC Press. This book was released on 2016-04-27 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advances in biotechnology such as the next generation sequencing technologies are occurring at breathtaking speed. Advances and breakthroughs give competitive advantages to those who are prepared. However, the driving force behind the positive competition is not only limited to the technological advancement, but also to the companion data analy
Book Synopsis Long Noncoding RNAs in Plants by : Santosh Kumar Upadhyay
Download or read book Long Noncoding RNAs in Plants written by Santosh Kumar Upadhyay and published by Academic Press. This book was released on 2020-11-13 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth of human population has increased the demand for improved yield and quality of crops and horticultural plants. However, plant productivity continues to be threatened by stresses such as heat, cold, drought, heavy metals, UV radiations, bacterial and fungal pathogens, and insect pests. Long noncoding RNAs are associated with various developmental pathways, regulatory systems, abiotic and biotic stress responses and signaling, and can provide an alternative strategy for stress management in plants. Long Noncoding RNAs in Plants: Roles in development and stress provides the most recent advances in LncRNAs, including identification, characterization, and their potential applications and uses. Introductory chapters include the basic features and brief history of development of lncRNAs studies in plants. The book then provides the knowledge about the lncRNAs in various important agricultural and horticultural crops such as cereals, legumes, fruits, vegetables, and fiber crop cotton, and their roles and applications in abiotic and biotic stress management. - Includes the latest advances and research in long noncoding RNAs in plants - Provides alternative strategies for abiotic and biotic stress management in horticultural plants and agricultural crops - Focuses on the application and uses of long noncoding RNAs
Book Synopsis Advances in Bioinformatics and Computational Biology by : Carlos E. Ferreira
Download or read book Advances in Bioinformatics and Computational Biology written by Carlos E. Ferreira and published by Springer. This book was released on 2010-08-21 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th Brazilian Symposium on Bioinformatics, BSB 2010, held in Rio de Janeiro, Brazil, in August/September 2010. The 5 full papers and 5 extended abstracts presented were carefully reviewed and selected for inclusion in the book. The topics of interest vary in many areas of Bioinformatics, including sequence analysis, motifs, and pattern matching; biomedical text mining; biological databases, data management, integration; biological data mining; structural, comparative, and functional genomics; protein structure, modeling and simulation; gene identification, and regulation; gene expression analysis; gene and protein interaction and networks; molecular docking; molecular evolution and phylogenetics; computational systems biology; computational proteomics; statistical analysis of molecular sequences; algorithms for problems in computational biology; as well as applications in molecular biology, biochemistry, genetics, and associated subjects.
Book Synopsis RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods by : Jan Gorodkin
Download or read book RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods written by Jan Gorodkin and published by Humana. This book was released on 2014-03-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The existence of genes for RNA molecules not coding for proteins (ncRNAs) has been recognized since the 1950's, but until recently, aside from the critically important ribosomal and transfer RNA genes, most focus has been on protein coding genes. However, a long series of striking discoveries, from RNA's ability to carry out catalytic function, to discovery of riboswitches, microRNAs and other ribo-regulators performing critical tasks in essentially all living organisms, has created a burgeoning interest in this primordial component of the biosphere. However, the structural characteristics and evolutionary constraints on RNA molecules are very different from those of proteins, necessitating development of a completely new suite of informatic tools to address these challenges. In RNA Sequence, Structure, Function: Computational and Bioinformatic Methods, expert researchers in the field describe a substantial and relevant fraction of these methodologies from both practical and computational/algorithmic perspectives. Focusing on both of these directions addresses both the biologist interested in knowing more about RNA bioinformatics as well as the bioinformaticist interested in more detailed aspects of the algorithms. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results. Thorough and intuitive, RNA Sequence, Structure, Function: Computational and Bioinformatic Methods aids scientists in continuing to study key methods and principles of RNA bioinformatics.
Book Synopsis Non-Coding RNAs by : Jan Barciszewski
Download or read book Non-Coding RNAs written by Jan Barciszewski and published by Springer Science & Business Media. This book was released on 2003-08-31 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: General inspection of a role performed in the cell by RNAs allows us to distinguish three major groups of transcripts: I. protein-coding mRNAs, II. non-coding housekeeping and III. regulatory RNAs. The housekeeping RNAs include RNA classes that are generally, constitutively expressed and whose presence is required for normal function and viability of the cells. On the other hand, a group of regulatory RNAs includes RNA species that are expressed at certain stages of organism development or cell differentiation or as a response to external stimuli and can affect expression of other genes on the levels of transcription or translation. Non-coding RNA transcripts form a heterogeneous class of RNAs that can not be characterized by a single specific function. Initially, the term non-coding RNA (ncRNA) was used primarily to describe polyadenylated and a capped eukaryotic RNAs transcribed by RNA polymerase II, but lacking long open reading frames. Now, this definition can be extended to cover all RNA transcripts that do not show protein-coding capacity and is sometimes used to describe any RNA that does not encode protein, including introns. This book is an in-depth look at the function of Non-Coding RNAs and their relationship to Molecular Biology and Molecular Biology.
Book Synopsis Kernel Methods in Computational Biology by : Bernhard Schölkopf
Download or read book Kernel Methods in Computational Biology written by Bernhard Schölkopf and published by MIT Press. This book was released on 2004 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed overview of current research in kernel methods and their application to computational biology.
Book Synopsis Computational Genomics with R by : Altuna Akalin
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.
Book Synopsis Cancer and Noncoding RNAs by : Jayprokas Chakrabarti
Download or read book Cancer and Noncoding RNAs written by Jayprokas Chakrabarti and published by Academic Press. This book was released on 2017-10-13 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer and Noncoding RNAs offers an in-depth exploration of noncoding RNAs and their role in epigenetic regulation of complex human disease, most notably cancer. In addition to examining microRNAs, this volume provides a unique evaluation of more recently profiled noncoding RNAs now implicated in carcinogenesis, including lncRNAs, piRNAs, circRNAs, and tRNAs, identifying differences in function between these noncoding RNAs and how they interact with the rest of the epigenome. A broad range of chapters from experts in the field detail epigenetic regulation of various cancer types, along with recent next generation sequencing technologies, genome-wide association studies (GWAS) and bioinformatics approaches. This book will help researchers in genomic medicine and cancer biology better understand the role of noncoding RNAs in epigenetics, aiding in the development of useful biomarkers for diagnosis, prognosis and new RNA-based disease therapies. - Provides a comprehensive analysis of noncoding RNAs implicated in epigenetic regulation of gene expression and chromatin dynamics - Educates researchers and graduate students by highlighting, in addition to miRNAs, a range of noncoding RNAs newly associated with carcinogenesis - Applies current knowledge of noncoding RNAs and epigenomics towards developing cancer and RNA-based disease therapies - Features contributions by leading experts in the field
Book Synopsis Generation of cDNA Libraries by : Shao-Yao Ying
Download or read book Generation of cDNA Libraries written by Shao-Yao Ying and published by Springer Science & Business Media. This book was released on 2008-02-03 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its invention and subsequent development nearly 20 years ago, po- merase chain reaction (PCR) has been extensively utilized to identify numerous gene probes in vitro and in vivo. However, attempts to generate complete and full-length complementary cDNA libraries were, for the most part, fruitless and remained elusive until the last decade, when simple and rapid methods were developed. With current decoding and potential application of human genome information to genechips, there are urgent needs for identification of functional significance of these decoded gene sequences. Inherent in bringing these app- cations to fruition is the need to generate a complete and full-length cDNA library for potential functional assays of specific gene sequences. Generation of cDNA Libraries: Methods and Protocols serves as a laboratory manual on the evolution of generation of cDNA libraries, covering both ba- ground information and step-by-step practical laboratory recipes for which p- tocols, reagents, operational tips, instrumentation, and other requirements are detailed. The first chapter of the book is an overview of the basics of generating cDNA libraries, which include the following: (a) the definition of a cDNA library, (b) different kinds of cDNA libraries, (c) differences between methods for cDNA library generation using conventional approaches and novel stra- gies, including reverse generation of RNA repertoires from cDNA libraries, and (d) the quality of cDNA libraries.
Book Synopsis Systems and Synthetic Biology by : Vikram Singh
Download or read book Systems and Synthetic Biology written by Vikram Singh and published by Springer. This book was released on 2014-12-15 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook has been conceptualized to provide a detailed description of the various aspects of Systems and Synthetic Biology, keeping the requirements of M.Sc. and Ph.D. students in mind. Also, it is hoped that this book will mentor young scientists who are willing to contribute to this area but do not know from where to begin. The book has been divided into two sections. The first section will deal with systems biology – in terms of the foundational understanding, highlighting issues in biological complexity, methods of analysis and various aspects of modelling. The second section deals with the engineering concepts, design strategies of the biological systems ranging from simple DNA/RNA fragments, switches and oscillators, molecular pathways to a complete synthetic cell will be described. Finally, the book will offer expert opinions in legal, safety, security and social issues to present a well-balanced information both for students and scientists.
Book Synopsis Bioinformatics, second edition by : Pierre Baldi
Download or read book Bioinformatics, second edition written by Pierre Baldi and published by MIT Press. This book was released on 2001-07-20 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to machine learning approaches and their application to the analysis of biological data. An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models—and to automate the process as much as possible. In this book Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology. This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised.
Download or read book MiRNomics written by Malik Yousef and published by . This book was released on 2014 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: In miRNomics: MicroRNA Biology and Computational Analysis, expert researchers in the field present an overview of the current state of the art and aim to put the respective areas of research into a larger perspective. These include methods and techniques ranging from miRNA biogenesis, their biological function, computational analyses to their medical implications and applications. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, miRNomics: MicroRNA Biology and Computational Analysis seeks to aid scientists in the further study into miRNA research and statistics.
Book Synopsis Handbook of Research on Computational and Systems Biology by : Limin Angela Liu
Download or read book Handbook of Research on Computational and Systems Biology written by Limin Angela Liu and published by IGI Global. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book offers information on the state-of-the-art development in the fields of computational biology and systems biology, presenting methods, tools, and applications of these fields by many leading experts around the globe"--Provided by publisher.
