Download or read book Computational Identification and Analysis of Non coding RNAs in Large scale Biological Data written by Jikai Lei and published by . This book was released on 2015 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 320 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

Download or read book Non coding RNAs in Complex Diseases written by Xia Li and published by Springer. This book was released on 2018-09-06 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas. Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.

Download or read book Computational Biology of Non Coding RNA written by Xin Lai and published by Humana Press. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume details a collection of state-of-art methods including identification of novel ncRNAs and their targets, functional annotation and disease association in different biological contexts. Chapters guide readers through an overview of disease-specific ncRNAs, computational methods and workflows for ncRNA discovery, annotation based on high-throughput sequencing data, bioinformatics tools and databases for ncRNA analyses, network-based methods, and kinetic modelling of ncRNA-mediated gene regulation. 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 tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Biology of Non-Coding RNA: Methods and Protocols aims to provide a state-of-the-art collection of computational methods and approaches that will be of value to researchers interested in ncRNA field.

Download or read book Identification and Analysis of Non coding RNAs in Large Scale Genomic Data written by Rujira Achawanantakun and published by . This book was released on 2014 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 390 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

Download or read book Identification and Classification of Long Non Coding RNA in Zea Mays Using Computational and Bioinformatic Approaches written by Susan Boerner and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: Computational analysis of cDNA sequences from multiple organisms suggests that a large portion of transcribed DNA does not code for a functional protein. As studies begin to delve into the possible functions of these noncoding transcripts, the results are revealing an ever more complex genome, where what was once dubbed "junk" is now seemingly necessary. The characterization of several long noncoding (lnc)RNAs in human and mouse has involved the analysis of raw genomic sequence data with a set of rules to computationally predict functional noncoding transcripts; other approaches involve expression datasets from microarray or RNAseq technology to achieve the same end. As these studies increase, the number of functions, classes and names, of noncoding transcripts increase as well. Many examples of lncRNAs appear to have an epigenetic role in humans, including HOTAIR and XIST. While epigenetic gene regulation is clearly an essential mechanism in plants, relatively little is known about the presence or function of lncRNAs in plants. To explore the connection between lncRNA and epigenetic regulation of gene expression in plants, a computational pipeline using the programming language Python that will identify, classify, and localize potential lncRNAs has been developed and applied to maize full length cDNA sequences. This analysis revealed that a large portion of transcribed sequences in maize are not predicted to be coding. In addition, over half of the predicted noncoding transcripts contain small RNA sequences. Also, approximately half of the predicted noncoding transcripts are associated with a gene model. Of these, roughly 20 percent are antisense to their host gene loci. Sequence analysis identified a GA rich motif that is similar to two known motifs in previously charatercterized lncRNAs, roX2 and HOTAIR. Overall these results suggest that lncRNAs may be a component of genome regulation in maize.

Download or read book RNA seq Data Analysis written by Eija Korpelainen and published by CRC Press. This book was released on 2014-09-19 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le

Download or read book Long Non Coding Rnas Methods and Protocols written by Yi Feng and published by Methods in Molecular Biology. This book was released on 2018-04-15 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume assembles a broad spectrum of methods used in long non-coding RNAs (lncRNA) research, ranging from computational annotation of lncRNA genes to molecular and cellular analyses of the function of individual lncRNA. Long Non-Coding RNAs: Methods and Protocols also discusses methods used to study circular RNAs and RNA splicing, as well as influential findings on lncRNA in human diseases. 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 tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a must-have for molecular biologists, cell and developmental biologists, specialists who conduct disease-oriented research, and bioinformatics experts who seek a better understanding on lncRNA expression and function by computational analysis of the massive sequencing data that are rapidly accumulating in recent years.

Download or read book Recent Progresses of Non Coding RNAs in Biological and Medical Research 2nd Edition written by Yun Zheng and published by Frontiers Media SA. This book was released on 2020-11-04 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher’s note: In this 2nd edition, the following article has been updated: Xun Y, Tang Y, Hu L, Xiao H, Long S, Gong M, Wei C, Wei K and Xiang S (2019) Purification and Identification of miRNA Target Sites in Genome Using DNA Affinity Precipitation. Front. Genet. 10:778. doi: 10.3389/fgene.2019.00778

Download or read book Bioinformatics of Non Coding RNAs with Applications to Biomedicine Recent Advances and Open Challenges written by Carlo Maria Croce and published by Frontiers Media SA. This book was released on 2017-01-27 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent discovery of small and long non-coding RNAs (ncRNAs) has represented a major breakthrough in the life sciences. These molecules add a new layer of complexity to biological processes and pathways by revealing a sophisticated and dynamic interconnected system whose structure is just beginning to be uncovered. Genetic and epigenetic aberrations affecting ncRNA gene sequences and their expression have been linked to a variety of pathological conditions, including cancer, cardiovascular and neurological diseases. Latest advances in the development of high throughput analysis techniques may help to shed light on the complex regulatory mechanisms in which ncRNA molecules are involved. Bioinformatics tools constitute a unique and essential resource for non-coding RNA studies, providing a powerful technology to organize, integrate and analyze the huge amount of data produced daily by wet biology experiments in order to discover patterns, identify relationships among heterogeneous biological elements and formulate functional hypotheses. This Research Topic reviews current knowledge, introduces novel methods, and discusses open challenges of this exciting and innovative field in connection with the most important biomedical applications. It consists of four reviews and six original research and methods articles, spanning the full scope of the Research Topic.

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.

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.

Download or read book The Chemical Biology of Long Noncoding RNAs written by Stefan Jurga and published by Springer. This book was released on 2021-10-03 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and detailed overview of various aspects of long non-coding RNAs. It discusses their emerging significance in molecular medicine, ranging from human cancers to cardiovascular and metabolic diseases. Transcriptomic studies have demonstrated that the majority of genomes found in complex organisms are expressed in highly dynamic and cell-specific patterns, producing huge numbers of intergenic, antisense and intronic long non-protein-coding RNAs (lncRNAs). Thousands of lncRNAs have been identified, and unlike mRNA, they have no protein-coding capacity. A large repertoire of ncRNAs, actively transcribed from the mammalian genome, control diverse cellular processes, both in terms of development and diseases, through a variety of gene regulatory mechanisms. IncRNAs have emerged as a new paradigm in epigenetic regulation of the genome. Given its scope, the book will be of particular interest to molecular, chemical, cell and developmental biologists, as well as specialists in translational medicine involved in disease-oriented research. It also offers a valuable resource for in silico experts seeking a deeper understanding of lncRNA expression and function through computational analysis of the NGS data.

Download or read book Computational Analysis and Annotation of Structurally Functional RNAs written by Milad Miladi and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This work is a dissertation about computational methodologies and analyses of ribonucleic acid (RNA) molecules based on their sequence and structure properties. RNA is an essential molecule of living cells that acts as the career of the proteins genetic information and also as a regulatory functional element that contributes to cellular mechanisms. While only less than 3% of the human genome is encoding for known proteins, more than 85% of the genome is getting transcribed into RNA. Alone for the human genome, tens of thousands of non-coding RNA genes exist bearing pervasive functions. Despite the important roles of RNAs, functional and the regulatory mechanisms of a large number of the non-coding and protein-coding RNAs is either unknown or poorly understood. To solve this challenge, computational methodologies are a vital asset for a scalable and systematic analysis and annotation of RNAs with unknown functions. RNAs are polymer molecules that fold into complex structures within the cells. For a functional RNA, its folded structure often plays an important role and is better conserved than the polymer sequence through evolution. Therefore, it is essential to consider both the sequence and structure information for the task of annotation and discovery of functional RNAs using the computational approaches. Comparative methodologies utilise the evolutionary conservation information of both sequence and structure. They are pivot assets for providing reliable structure prediction and annotation of functional RNAs. Over the past decade, millions of RNA sequences have been obtained using techniques such as genomic screens and high-throughput sequencing experiments. These techniques produce up to several thousands or even millions of sequences and can be applied over all the domains of life. Analysing these large collections of sequences, for the evaluation and annotation of functional RNAs, demands efficient optimisation algorithms with sufficiently accurate models. Additionally, since the cells rely on heterogeneous molecules and mechanisms to function, integrative analysis of biological data is commonly required nowadays. Therefore, computational approaches based on techniques such as machine learning are needed to provide comprehensive strategies with high efficiencies also at different levels of the data. This thesis addresses some substantial challenges for the evaluation and annotation of functional RNAs by presenting novel contributions using computational analysis, optimisation algorithms, comparative methodologies, clustering approaches. The personal contributions are presented in the form of six works that are encompassed as six publications from three domains for the tasks of annotation, discovery, and analysis of functional RNAs. SPARSE and Pankov are two novel contributed algorithms for the problem of simultaneous alignment and folding (SA&F) of RNAs. SPARSE achieves a quadratic complexity without sequence-based heuristics by utilising a strong sparsification over the ensemble of possible secondary structure formations. The second SA&F algorithm Pankov, enables a fast simultaneous alignment and folding of RNAs while cohering to the nearest-neighbour thermodynamics principle of the standard RNA folding model. Pankov provides the most accurate SA&F probabilistic energy model until today, by mapping the nearest-neighbour principle to a Markov scheme using conditional in-loop probabilities. RNAscClust and GraphClust2 are presented for scalable clustering of RNA sequences based on sequence and structure. The RNAscClust methodology enables a linear-time clustering of paralogous RNAs based on their sequence and structure. Both tools are machine learning approaches that utilise graph kernel and locality-sensitive hashing schemes to support the clustering of input entries in an asymptotically linear time. RNAscClust incorporates orthogonal structure conservation to enhance the clustering and annotation performance. GraphClust2 is an integrative approach for the accessible and scalable clustering of RNAs to identify structurally conserved non-coding RNAs and motifs. GraphClust2 outperforms its predecessor and importantly supports diverse sources of genomic and experimental data in an accessible fashion. GraphClust2 bridges the gap between high-throughput sequencing experiments and the structure-based methodologies for functional RNA discovery. The final topic covered by this thesis is the mutational analysis of RNA secondary structure and function. A large-scale compilation and statistical analysis of somatic cancer synonymous mutations is presented. The analysis and experiments reveal that the synonymous mutations, despite not changing encoded protein sequence, can have substantial impacts on the gene expression levels and considerably disrupt the local secondary structure of mRNAs. Finally, MutaRNA is presented as an accessible web-based solution for evaluating the impact of mutation on the RNA secondary structure and visualising the complex impacts of the mutation on the intra-molecular interactions potentials in an intuitive manner

Download or read book Non coding RNA Genes in Eukaryotes Genomes written by Chun-Long Chen and published by . This book was released on 2007 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: It became clear that non-coding RNAs(ncRNA) participate in the control of gene expression at different levels of regulation. However, ncRNA genes are usually not annotated within genomes. Better understanding of genome functioning requires refined computational tools for ncRNA prediction, some are emerging in the nowadays genomic era. I developed a computational system, called snoRMP, to identify the box C/D snoRNAs that play a fundamental role in ribosome biogenesis. I applied it to the rice genome and identified 346 snoRNAs that grouped into 120 paralogous sets, sequence differences of which allowed to find clues about the mechanisms of duplication and evolution of snoRNAs. I also used the snoRMP to screen the genomes of Schizosaccharomyces pombe, Drosophila melanogaster and Chlamydomonas reinhardtii. In addition, I performed an extensive analysis of 415 rRNA and box C/D snoRNA complementary sequences involved in methylation of 124 rRNA sites from fungi, plants and animals. I could define snoRNA-rRNA duplex cores of 9 base pairs, over which single mutations had been severely counter-selected, and double compensatory mutations, retained. The Paramecium tetraurelia genome arose through at least three whole-genome duplications(WGD). In contrast with most genomes having evolved by WGDs that had lost a large fraction of the gene duplicates, the P. tetraurelia genome had not. I used motif-based methods to recover extensive contents of P. tetraurelia RNA genes, and analyzed their evolution in this specific WGD context. At last, I used a combination of comparative sequence analysis and structure predictions to analyze the whole amount of ncDNA and identify 137 ncRNA candidates.

Download or read book Plant Long Non Coding RNAs written by Julia A. Chekanova and published by Humana Press. This book was released on 2019-04-20 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on various approaches to studying long non-coding RNAs (lncRNAs), including techniques for finding lncRNAs, localization, and observing their functions. The chapters in this book cover how to catalog lncRNAs in various plant species; determining subcellular localization; protein interactions; structures; and RNA modifications. 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 tips on troubleshooting and avoiding known pitfalls. Cutting-edge and innovative, Plant Long Non-Coding RNAs: Methods and Protocols is a valuable resource that aids researchers in understanding the functions of lncRNAs in different plant species, and helps them explore currently uncharted facets of plant biology.