Genomes 4


Genomes 4
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Genomes 4


Genomes 4
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Author : T. A. Brown
language : en
Publisher: Garland Science
Release Date : 2018-12-07

Genomes 4 written by T. A. Brown and has been published by Garland Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Science categories.


Genomes 4 has been completely revised and updated. It is a thoroughly modern textbook about genomes and how they are investigated. As with Genomes 3, techniques come first, then genome anatomies, followed by genome function, and finally genome evolution. The genomes of all types of organism are covered: viruses, bacteria, fungi, plants, and animals including humans and other hominids. Genome sequencing and assembly methods have been thoroughly revised including a survey of four genome projects: human, Neanderthal, giant panda, and barley. Coverage of genome annotation emphasizes genome-wide RNA mapping, with CRISPR-Cas 9 and GWAS methods of determining gene function covered. The knowledge gained from these techniques forms the basis of the three chapters that describe the three main types of genomes: eukaryotic, prokaryotic (including eukaryotic organelles), and viral (including mobile genetic elements). Coverage of genome expression and replication is truly genomic, concentrating on the genome-wide implications of DNA packaging, epigenome modifications, DNA-binding proteins, non-coding RNAs, regulatory genome sequences, and protein-protein interactions. Also included are applications of transcriptome analysis, metabolomics, and systems biology. The final chapter is on genome evolution, focusing on the evolution of the epigenome, using genomics to study human evolution, and using population genomics to advance plant breeding. Established methods of molecular biology are included if they are still relevant today and there is always an explanation as to why the method is still important. Each chapter has a set of short-answer questions, in-depth problems, and annotated further reading. There is also an extensive glossary. Genomes 4 is the ideal text for upper level courses focused on genomes and genomics.



Genomes


Genomes
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Author : T. A. Brown
language : en
Publisher:
Release Date : 2017

Genomes written by T. A. Brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Science categories.


Preceded by: Genomes 3 / T. A. Brown. 3rd ed. New York: Garland Science, c2007.



Genomes 4


Genomes 4
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Author : T. A. Brown
language : en
Publisher: Garland Science
Release Date : 2018-12-07

Genomes 4 written by T. A. Brown and has been published by Garland Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Science categories.


Genomes 4 has been completely revised and updated. It is a thoroughly modern textbook about genomes and how they are investigated. As with Genomes 3, techniques come first, then genome anatomies, followed by genome function, and finally genome evolution. The genomes of all types of organism are covered: viruses, bacteria, fungi, plants, and animals including humans and other hominids. Genome sequencing and assembly methods have been thoroughly revised including a survey of four genome projects: human, Neanderthal, giant panda, and barley. Coverage of genome annotation emphasizes genome-wide RNA mapping, with CRISPR-Cas 9 and GWAS methods of determining gene function covered. The knowledge gained from these techniques forms the basis of the three chapters that describe the three main types of genomes: eukaryotic, prokaryotic (including eukaryotic organelles), and viral (including mobile genetic elements). Coverage of genome expression and replication is truly genomic, concentrating on the genome-wide implications of DNA packaging, epigenome modifications, DNA-binding proteins, non-coding RNAs, regulatory genome sequences, and protein-protein interactions. Also included are applications of transcriptome analysis, metabolomics, and systems biology. The final chapter is on genome evolution, focusing on the evolution of the epigenome, using genomics to study human evolution, and using population genomics to advance plant breeding. Established methods of molecular biology are included if they are still relevant today and there is always an explanation as to why the method is still important. Each chapter has a set of short-answer questions, in-depth problems, and annotated further reading. There is also an extensive glossary. Genomes 4 is the ideal text for upper level courses focused on genomes and genomics.



Genome Editing Tools And Gene Drives


Genome Editing Tools And Gene Drives
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Author : Reagan Mudziwapasi
language : en
Publisher: CRC Press
Release Date : 2021-10-18

Genome Editing Tools And Gene Drives written by Reagan Mudziwapasi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-18 with Medical categories.


Genome-editing methods are becoming routine tools for molecular and cell biologists. Such tools include ZFNs, CRISPR, megaTALs and TALENs. These tools are revolutionizing the creation of precisely manipulated genomes to modify the characteristics of organisms or cells. Additionally, gene drives have altered the way we understand inheritance laws. They give us the ability to have total control of the inheritance of traits of choice and importance. This succinct volume summarizes the history, principles and applications – as well as the advantages and disadvantages – of each of these tools and various kinds of gene drives. The book is part of a program to produce books helpful to students and faculties of science at colleges and universities. This volume in the Pocket Guides to Biomedical Sciences series will help demystify these technologies. The book fills the gap between established conventional methods and the novel and exciting newly introduced tools of genome editing and gene drives. It will help young scientists understand the emerging genome-editing tools and gene drives, thereby promoting related research and adoption. Key Features Extensively reviews the current genome-editing tools and gene drives Clarifies the targeting mechanisms and specificity of genome-editing tools Details many different types of natural and synthetic gene drives Highlights concerns with gene drives and genome-editing tools Related Titles Brown, T. A. Genomes 4 (ISBN 978-0-8153-4508-4) Samuelsson, T. The Human Genome in Health and Disease: A Story in Four Letters (ISBN 978-0-8153-4591-6) Soh, J., et al. Genome Annotation (ISBN 978-1-4398-4117-4)



The Dictionary Of Genomics Transcriptomics And Proteomics 4 Volume Set


The Dictionary Of Genomics Transcriptomics And Proteomics 4 Volume Set
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Author : Guenter Kahl
language : en
Publisher: John Wiley & Sons
Release Date : 2015-06-08

The Dictionary Of Genomics Transcriptomics And Proteomics 4 Volume Set written by Guenter Kahl and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-08 with Science categories.


Now in its fifth edition and for the first time available as an electronic product with all entries cross-linked. This very successful long-seller has once again been thoroughly updated and greatly expanded. It now contains over 13,000 entries, and comprehensively covering genomics, transcriptomics, and proteomics. Each entry contains an extensive explanation, including a comprehensive listing of synonyms and acronyms, and all formulas have been redrawn to create a uniform style, while most of the figures are custom designed for this dictionary. The ultimate reference for all terms in the -omics fields.



Computational Genomics With R


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.



Evolution Of The Human Genome Ii


Evolution Of The Human Genome Ii
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Author : Naruya Saitou
language : en
Publisher: Springer Nature
Release Date : 2021-05-27

Evolution Of The Human Genome Ii written by Naruya Saitou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Science categories.


This two-volume set provides a general overview of the evolution of the human genome; The first volume overviews the human genome with descriptions of important gene groups. This second volume provides up-to-date, concise yet ample knowledge on the genome evolution of modern humans. It comprises twelve chapters divided into two parts discussing “Non-neutral Evolution on Human Genes” (Part I) and “Evolution of Modern Human Populations” (Part II.) The most significant feature of this book is the continent-wise discussion of modern human dispersal using human genomic data in Part II. Recent results such as introgression of paleogenomes to modern humans, new methods such as computer simulation of global human dispersals, and new information on genes for humanness will be of particular interest to the readers. Since the euchromatin regions of the human genome was sequenced in 2003, a huge number of research papers were published on modern human evolution for a variety of populations. It is now time to summarize these achievements. This book stands out as the most comprehensive book on the modern human evolution, focusing on genomic points of view with a broad scope. Primary target audiences are researchers and graduate students in evolutionary biology.



Genome Analysis


Genome Analysis
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Author : Bruce Birren
language : en
Publisher:
Release Date : 2006

Genome Analysis written by Bruce Birren and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.




Evolution Of The Human Genome I


Evolution Of The Human Genome I
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Author : Naruya Saitou
language : en
Publisher: Springer
Release Date : 2018-02-08

Evolution Of The Human Genome I written by Naruya Saitou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-08 with Science categories.


This book reviews the human genome from an evolutionary perspective. No such book has ever been published before, although there are many books on human genomes. There are two parts in this book: Overview of the Human Genome (Part I) and The Human Genome Viewed through Genes (Part II). In Part I, after a brief review of human evolution and the human genome (by Naruya Saitou), chapters on rubbish or junk DNA (by Dan Graur), GC content heterogeneity (by Satoshi Oota), protein coding and RNA coding genes (by Tadashi Imanishi), duplicated genes (by Takashi Kitano), recombinations (by Montanucci and Bertranpetit), and copy number variations including microsatellites (by Naoko Takezaki) are discussed. Readers can obtain various new insights on the human genome from this part. In Part II, genes in X and Y chromosomes (by Yoko Satta and others), HLA genes (by Timothy A. Jinam), opsin genes (by Shoji Kawamura and Amanda D. Melin), genes related to phenotypic variations (by Ryosuke Kimura), transcription factors (by Mahoko Takahashi and So Nakagawa), diabetes-related genes (by Ituro Inoue), disease genes in general (by Ituro Inoue and Hirofumi Nakaoka), and microbial genomes (by Chaochun Wei) are discussed. The human genome sequences were determined in 2004, and after more than 10 years we are now beginning to understand the human genome from an evolutionary point of view. This book furnishes readers with a good summary of current research in the field.



Genome Analysis


Genome Analysis
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Author : Maria S. Poptsova
language : en
Publisher: Caister Academic Press Limited
Release Date : 2014

Genome Analysis written by Maria S. Poptsova and has been published by Caister Academic Press Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Science categories.


In recent years there have been tremendous achievements made in DNA sequencing technologies and corresponding innovations in data analysis and bioinformatics that have revolutionized the field of genome analysis. In this book, an impressive array of expert authors highlight and review current advances in genome analysis. This volume provides an invaluable, up-to-date and comprehensive overview of the methods currently employed for next-generation sequencing (NGS) data analysis, highlights their problems and limitations, demonstrates the applications and indicates the developing trends in various fields of genome research. The first part of the book is devoted to the methods and applications that arose from, or were significantly advanced by, NGS technologies: the identification of structural variation from DNA-seq data; whole-transcriptome analysis and discovery of small interfering RNAs (siRNAs) from RNA-seq data; motif finding in promoter regions, enhancer prediction and nucleosome sequence code discovery from ChiP-Seq data; identification of methylation patterns in cancer from MeDIP-seq data; transposon identification in NGS data; metagenomics and metatranscriptomics; NGS of viral communities; and causes and consequences of genome instabilities. The second part is devoted to the field of RNA biology with the last three chapters devoted to computational methods of RNA structure prediction including context-free grammar applications. An essential book for everyone involved in sequence data analysis, next-generation sequencing, high-throughput sequencing, RNA structure prediction, bioinformatics and genome analysis.