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Computational Non coding RNA Biology

Computational Non coding RNA Biology
  • Author : Yun Zheng
  • Publsiher : Academic Press
  • Release : 14 September 2018
  • ISBN : 0128143665
  • Pages : 320 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKComputational Non coding RNA Biology

Summary:
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


Computational Non-coding RNA Biology

Computational Non-coding RNA Biology
  • Author : Yun Zheng
  • Publisher : Academic Press
  • Release : 14 September 2018
GET THIS BOOKComputational Non-coding RNA Biology

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

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Computational Biology of Non-Coding RNA

Computational Biology of Non-Coding RNA
  • Author : Xin Lai,Shailendra Kumar Gupta,Julio Vera
  • Publisher : Anonim
  • Release : 20 August 2022
GET THIS BOOKComputational Biology of Non-Coding RNA

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

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Computational Biology of Non-Coding RNA

Computational Biology of Non-Coding RNA
  • Author : Xin Lai,Shailendra K. Gupta,Julio Vera
  • Publisher : Humana Press
  • Release : 04 February 2019
GET THIS BOOKComputational Biology of Non-Coding RNA

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

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Long Non-coding RNAs in Plants

Long Non-coding RNAs in Plants
  • Author : Santosh Kumar Upadhyay
  • Publisher : Academic Press
  • Release : 27 November 2020
GET THIS BOOKLong Non-coding RNAs in Plants

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 non-coding 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 Non-coding RNAs in Plants: Roles in

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Cancer and Noncoding RNAs

Cancer and Noncoding RNAs
  • Author : Jayprokas Chakrabarti,Sanga Mitra
  • Publisher : Academic Press
  • Release : 13 October 2017
GET THIS BOOKCancer and Noncoding RNAs

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

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Computational Methods for Genome-wide Non-coding RNA Discovery and Analysis

Computational Methods for Genome-wide Non-coding RNA Discovery and Analysis
  • Author : Shaojie Zhang
  • Publisher : Anonim
  • Release : 20 August 2022
GET THIS BOOKComputational Methods for Genome-wide Non-coding RNA Discovery and Analysis

The discovery of novel non-coding RNAs has been among the most exciting recent developments in Biology, yet, many more remain undiscovered. It has been hypothesized that there is in fact an abundance of functional non-coding RNAs (ncRNAs) with various catalytic and regulatory functions. Computational methods tailored specifically for ncRNA discovery are being actively developed. As the inherent signal for ncRNA is weaker than that for protein coding genes, comparative methods offer the most promising approach. In this dissertation, we address

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Gene Expression Profiling in Cancer

Gene Expression Profiling in Cancer
  • Author : Dimitrios Vlachakis
  • Publisher : BoD – Books on Demand
  • Release : 19 June 2019
GET THIS BOOKGene Expression Profiling in Cancer

The contribution of modern-day genetics in designing efficient gene expression profiles for cancer is immense. The progress of technology and science in recent years provides the opportunity for discovery and application of new techniques for treating various diseases that affect humanity. Methods for finding and analyzing the profile of gene expression of infected cells give scientists the ability to develop more targeted and effective treatments, especially for diseases such as cancer. The development of gene expression profiling is one of

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Small Non-Coding RNAs

Small Non-Coding RNAs
  • Author : Mathieu Rederstorff
  • Publisher : Humana Press
  • Release : 21 March 2015
GET THIS BOOKSmall Non-Coding RNAs

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

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RNA-Based Regulation in Human Health and Disease

RNA-Based Regulation in Human Health and Disease
  • Author : Anonim
  • Publisher : Academic Press
  • Release : 19 August 2020
GET THIS BOOKRNA-Based Regulation in Human Health and Disease

RNA-based Regulation in Human Health and Disease offers an in-depth exploration of RNA mediated genome regulation at different hierarchies. Beginning with multitude of canonical and non-canonical RNA populations, especially noncoding RNA in human physiology and evolution, further sections examine the various classes of RNAs (from small to large noncoding and extracellular RNAs), functional categories of RNA regulation (RNA-binding proteins, alternative splicing, RNA editing, antisense transcripts and RNA G-quadruplexes), dynamic aspects of RNA regulation modulating physiological homeostasis (aging), role of RNA

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Long Non-Coding RNAs in Cancer

Long Non-Coding RNAs in Cancer
  • Author : Alfons Navarro
  • Publisher : Anonim
  • Release : 20 August 2022
GET THIS BOOKLong Non-Coding RNAs in Cancer

This volume presents techniques needed for the study of long non-coding RNAs (lncRNAs) in cancer from their identification to functional characterization. Chapters guide readers through identification of lncRNA expression signatures in cancer tissue or liquid biopsies by RNAseq, single Cell RNAseq, Phospho RNAseq or Nanopore Sequencing techniques; validation of lncRNA signatures by Real time PCR, digital PCR or in situ hybridization; and functional analysis by siRNA or CRISPR based methods for lncRNA silencing or overexpression. Lipid based nanoparticles for delivery

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Long Non-Coding RNAs

Long Non-Coding RNAs
  • Author : Yi Feng,Lin Zhang
  • Publisher : Anonim
  • Release : 20 August 2022
GET THIS BOOKLong Non-Coding RNAs

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

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Long Non Coding RNA Biology

Long Non Coding RNA Biology
  • Author : M.R.S. Rao
  • Publisher : Springer
  • Release : 16 August 2017
GET THIS BOOKLong Non Coding RNA Biology

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.

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Kernel Methods in Computational Biology

Kernel Methods in Computational Biology
  • Author : Managing Director of the Max Planck Institute for Biological Cybernetics in Tubingen Germany Profe Bernhard Scholkopf,Sorin Istrail,Pavel A. Pevzner
  • Publisher : MIT Press
  • Release : 20 August 2022
GET THIS BOOKKernel Methods in Computational Biology

A Primer on Molecular Biology. A Primer on Kernel Methods. Support Vector Machine Applications in Computational Biology. Inexact Matching String Kernels for Protein Classification. Fast Kernels for String and Tree Matching. Local Alignment Kernels for Biological Sequences. Kernels for Graphs. Diffusion Kernels. A Kernel for Protein Secondary Structure Prediction. Heterogeneous Data Comparsion and Gene Selection with Kernel Canonical Correlation Analysis. Kernel-Based Integration of Genomic Data Using Semdefinite Programming. Protein Classification via Kernel Matrix Completion. Accurate Splice Site Detection for Caenorhabditid

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Computational Genomics with R

Computational Genomics with R
  • Author : Altuna Akalin
  • Publisher : CRC Press
  • Release : 16 December 2020
GET THIS BOOKComputational Genomics with R

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

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Fungal RNA Biology

Fungal RNA Biology
  • Author : Ane Sesma,Tobias von der Haar
  • Publisher : Springer Science & Business Media
  • Release : 15 April 2014
GET THIS BOOKFungal RNA Biology

This book presents an overview of the RNA networks controlling gene expression in fungi highlighting the remaining questions and future challenges in this area. It covers several aspects of the RNA-mediated mechanisms that regulate gene expression in model yeasts and filamentous fungi, organisms of great importance for industry, medicine and agriculture. It is estimated that there are more than one million fungal species on the Earth. Despite their diversity (saprophytic, parasitic and mutualistic), fungi share common features distinctive from plants

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