Analysis Of Genes And Genomes

Download or read book Analysis of Genes and Genomes written by Richard J. Reece and published by Halsted Press. This book was released on 2004 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of GenesA and Genomes is a clear introduction to the theoretical and practical basis of genetic engineering, gene cloning and molecular biology. All aspects of genetic engineering in the post-genomic era are covered, beginning with the basics of DNA structure and DNA metabolism. Using an example-driven approach, the fundamentals of creating mutations in DNA, cloning in bacteria, yeast, plants and animals are all clearly presented. Newer technologies such as DNA macro and macroarrays, proteomics and bioinformatics are introduced in later chapters helping students to analyse and understand the vast amounts of data that are now available through genome sequence and function projects. Aimed at students with a basic knowledge of the molecular side of biology, this will be invaluable to those looking to better understand the complexities and capabilities of these important new technologies. A modern post-genome era introduction to key techniques used in genetic engineering. An example driven past-to-present approach to allow the experiments of today to be placed in an historical context Beautifully illustrated in full colour throughout. Associated website including updates, additional content and illustrations

Download or read book Genetics written by Daniel L. Hartl and published by Jones & Bartlett Publishers. This book was released on 2012 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Genetic Analysis written by Philip Mark Meneely and published by Oxford University Press. This book was released on 2014 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: With its unique integration of genetics and molecular biology, this text probes fascinating questions that explore how our understanding of key genetic phenomena can be used to understand biological systems. Opening with a brief overview of key genetic principles, model organisms, and epigenetics, the book goes on to explore the use of gene mutations, the analysis of gene expression and activity, a discussion of the genetic structure of natural populations, and more.

Download or read book Mapping and Sequencing the Human Genome written by National Research Council and published by National Academies Press. This book was released on 1988-01-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers.

Download or read book Genetics written by Philip Mark Meneely and published by Oxford University Press. This book was released on 2017 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetics: Genes, Genomes, and Evolution unites evolution, genomics, and genetics in a single narrative approach. It is an approach that provides students with a uniquely flexible and contemporary view of genetics, genomics, and evolution.

Download or read book Essential Genes and Genomes written by Ren Zhang and published by Humana. This book was released on 2022-11-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides state-of-the-art information on gene essentiality screenings in a wide variety of organisms, i.e. screening for protein-coding genes and other genomic elements that are required by an organism to survive under specific conditions. With a focus on the two techniques that have revolutionized the field, the collection begins with chapters employing CRISPR/Cas9-based approaches followed by Tn-seq-based approaches, but later chapters also delve into other techniques for exploring essential genes, such as bioinformatics methods. Written for the highly successful Methods in Molecular Biology series, 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. Comprehensive and authoritative, Essential Genes and Genomes: Methods and Protocols is an ideal guide for researchers attempting to strip genetics down to its fundamentals.

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.