Computational Non Coding Rna Biology

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Computational Non Coding Rna Biology

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Author : Yun Zheng
language : en
Publisher: Academic Press
Release Date : 2018-09-14

Computational Non Coding Rna Biology written by Yun Zheng and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-14 with Science categories.

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 Biology Of Non Coding Rna

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Author : Xin Lai
language : en
Publisher: Humana
Release Date : 2025-02-03

Computational Biology Of Non Coding Rna written by Xin Lai and has been published by Humana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Science categories.

Computational Biology Of Non Coding Rna

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Author : Xin Lai
language : en
Publisher: Springer Nature
Release Date : 2024-12-19

Computational Biology Of Non Coding Rna written by Xin Lai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Science categories.

This second edition 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, Second Edition aims to ensure successful results in the further study of this vital field.

Non Coding Rnas

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Author : Jan Barciszewski
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-08-31

Non Coding Rnas written by Jan Barciszewski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-31 with Science categories.

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.

Long Noncoding Rnas In Plants

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Author : Santosh Kumar Upadhyay
language : en
Publisher: Academic Press
Release Date : 2020-11-13

Long Noncoding Rnas In Plants written by Santosh Kumar Upadhyay and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Science categories.

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

Computational Biology And Bioinformatics

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Author : Ka-Chun Wong
language : en
Publisher:
Release Date : 2016

Computational Biology And Bioinformatics written by Ka-Chun Wong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Science categories.

Chapter 17 - Improved Protein Model Ranking through Topological Assessment -- Back Cover

Kernel Methods In Computational Biology

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Author : Bernhard Schölkopf
language : en
Publisher: MIT Press
Release Date : 2004

Kernel Methods In Computational Biology written by Bernhard Schölkopf and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.

A detailed overview of current research in kernel methods and their application to computational biology.

Recent Progresses Of Non Coding Rnas In Biological And Medical Research 2nd Edition

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Author : Yun Zheng
language : en
Publisher: Frontiers Media SA
Release Date : 2020-11-04

Recent Progresses Of Non Coding Rnas In Biological And Medical Research 2nd Edition written by Yun Zheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Science categories.

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

Encyclopedia Of Bioinformatics And Computational Biology

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Author :
language : en
Publisher: Elsevier
Release Date : 2018-08-21

Encyclopedia Of Bioinformatics And Computational Biology written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Medical categories.

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Computational Genomics With R

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Author : Altuna Akalin
language : en
Publisher: CRC Press
Release Date : 2020-12-16

Computational Genomics With R written by Altuna Akalin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.

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.