Products related to Genomics:
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Genomics
Written primarily for 16-19 year old students, this primer aims to extend students' knowledge and inspire them to take their school-level learning further.It explores topics that are familiar from the curriculum and also introduces new ideas, giving students a first taste of the study of biology beyond school-level and demonstrating how concepts frequently encountered at school are relevant to and applied in current research.This is the ideal text to support students who are considering making the transition from studying biology at school to university. This Oxford Biology Primer will introduce students to the field of genomics and its applications.From the early days of the Human Genome Project, sequencing technology has rapidly developed and is now cheaper and more accessible than ever before.The resulting pervasive nature of these technologies make them more likely to be experienced by people as patients, consumers and citizens. The primer introduces the basic principles of genomics and then uses these to consider human genetics, through examples of some of the rare diseases linked to single genes.The impact of these rare diseases is far-reaching and the knowledge gained through genome sequencing is proving invaluable in their diagnosis.Genome sequencing is revolutionising the diagnosis and treatment of cancer, and the primer introduces students to some of the key breakthroughs which have taken place in recent years.These include the identification of specific genes indicating cancer risk, and the sequencing of tumours throughout treatment to identify further mutations and modify treatment accordingly. The primer aims to address a number of the ethical issues which are raised by this rapidly-growing area of biology.Students are challenged to consider some of the decisions they may need to make relating to these technologies in their own lives, and are given opportunities to explore different aspects of these issues in a way which allows discussion to be both informed and meaningful. The study of infectious disease is also feeling the impact of genomics: the primer discusses the concept of pathogen genome sequencing, and illustrates the various ways in which this can be used - for example, enabling us to find different solutions to infections, to track outbreaks of disease to their source, and to identify and possibly ultimately combat antibiotic resistance. Many of the major diseases which impact the global population are caused by parasites, which come in a wide variety of shapes and sizes.The primer introduces students to the importance of understanding parasite genomes.Parasite genome sequencing makes it possible to develop both new medicines, and new treatments such as gene drive systems to wipe out disease-causing mosquito populations. For many years, our views of classification and evolution have been based on observational techniques going back to Darwin and Linnaeus.Focusing on human evolution, the primer will open students' eyes to the ways in which genome sequencing is being used to reveal evolutionary links that have never before been recognised, and to elucidate the way humans spread out of Africa across the world.Students are not always aware of the role technological developments play in enabling the progress of science.The final chapter delves into how genome sequencing technologies have developed, considering both the speed of change in the technology, its implications for usefulness, availability and cost, and the growing issue of big data and how it can be manipulated.The different technologies described in this chapter are referenced throughout the book.
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Plant Genomics
Introduction to the range of molecular techniques to investigate unique facets of plant growth, development, and responses to the environment Plant Genomics introduces the complex relationship between the genome, microbiome, genes, and epigenetics of plants, as well as the range of molecular techniques applicable to investigating the unique facets of plant growth, development, and response to the environment.State-of-the-art science in the field is discussed, as well as future outlooks on what the next decade is likely to bring.This book includes new techniques for modifying the plant genome and their impact on modifying plants to combat the impact of biotic and abiotic stresses, including those associated with climate change, new technologies including long and short read sequencing and proximity ligation and the combination of these technologies for assembling sequence data into chromosomes, a new chapter on the sequences of the chloroplast and mitochondrial genomes, and a dedicated chapter to epigenetics and the importance in gene regulation.Written by a highly qualified author with significant published research contributions to the field, Plant Genomics includes information on: Structure and information content of the chloroplast and mitochondrial genomes and their use in phylogenyUse of transcriptomes from various tissues to identify expressed sequences and their identification as genesFunction of small regulatory RNAs and long non-coding RNAs and involvement of small RNAs in the control of gene expressionEpigenetic silencing of transposable elements and their release by stress and cross-generational contribution of epigenetic variationUse of the pan-genome to assemble a comprehensive germplasm for a particular crop species Plant Genomics is an ideal textbook for undergraduate courses on plant biology, particularly those focusing on molecular descriptions, and a helpful auxiliary text to plant biology laboratory courses.It will also be of interest to students in plant molecular biology, agricultural and food sciences, and plant, food, and crop bioengineering.
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Introduction to Genomics
Our genome is the blueprint for our existence: it encodes all the information we need to develop from a single cell into a hugely complicated functional organism.Yet it is more than a static information store: our genome is a dynamic, tightly regulated collection of genes, which switch on and off in many combinations to give the variety of cells from which our bodies are formed.But how do we identify the genes that make up our genome?How do we determine their function? And how do different genes form the regulatory networks that direct the processes of life?Introduction to Genomics is the most up-to-date and complete textbook for students approaching the subject for the first time.Lesk's engaging writing style brings a narrative to a disparate field of study and offers a fascinating insight into what can be revealed from the study of genomes.The book covers: the similarities and differences between organisms; how different organisms evolved; how the genome is constructed and how it operates; and what our understanding of genomics means in terms of our future health and wellbeing. Digital formats and resourcesThe book is available for students and institutions to purchase in a variety of formats, and is supported by online resources:· The e-book offers a mobile-compatible experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks· Online resources, available for registered adopters, include downloadable figures and tables from the book· E-book and Trove formats are enriched with online resources for students, including extensive and imaginative weblems (web-based problems) for each chapter; hints and answers to end-of-chapter problems and exercises to support self-directed learning; a guided tour of websites and major archival databanks in genomics to springboard further research; Journal Club (links to related research articles on topics covered in the book paired with engaging questions); and rotating figures which allow readers to visualize complex structures.
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Introduction to Genomics
Our genome is the blueprint for our existence: it encodes all the information we need to develop from a single cell into a hugely complicated functional organism.Yet it is more than a static information store: our genome is a dynamic, tightly-regulated collection of genes, which switch on and off in many combinations to give the variety of cells from which our bodies are formed.But how do we identify the genes that make up our genome?How do we determine their function? And how do different genes form the regulatory networks that direct the processes of life?Introduction to Genomics is the most up-to-date and complete textbook for students approaching the subject for the first time.Lesk's engaging writing style brings a narrative to a disparate field of study and offers a fascinating insight into what can be revealed from the study of genomes.The book covers: the similarities and differences between organisms; how different organisms evolved; how the genome is constructed and how it operates; and what our understanding of genomics means in terms of our future health and wellbeing.The Online Resource Centre accompanying Introduction to Genomics features: For students: - Extensive and imaginative weblems (web-based problems) for each chapter designed to give you practice with the tools required for further study and research in the field- Hints and answers to end-of-chapter problems and exercises support your self-directed learning- Guided tour of websites and major archival databanks in genomics offer a wealth of resources to springboard your own research - Journal club: links to related research articles on topics covered in the book are paired with engaging questions to improve your interpretation of the primary literature- Rotating figures allow you to visualize complex structuresFor registered adopters: - Downloadable figures from the book.
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What can one do if they have lost their creativity and have no inspiration?
If someone has lost their creativity and has no inspiration, they can try a few things to reignite their creative spark. One option is to take a break and engage in activities that they enjoy, such as going for a walk, reading a book, or listening to music. They can also try exploring new experiences, visiting new places, or trying out new hobbies to stimulate their mind. Additionally, seeking inspiration from other sources, such as art, nature, or conversations with others, can help to jumpstart their creativity. Finally, setting aside dedicated time for creative pursuits and practicing regularly can also help to rebuild their creative energy.
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What is productivity?
Productivity is a measure of how efficiently resources are used to produce goods and services. It is the ratio of output to input, and it reflects the ability to generate more output with the same amount of input, or the same output with less input. Productivity is important for businesses and economies as it directly impacts profitability, competitiveness, and overall economic growth. It can be influenced by factors such as technology, workforce skills, management practices, and infrastructure.
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What is the meaning of total productivity and labor productivity?
Total productivity refers to the overall efficiency of all inputs in a production process, including labor, capital, and resources. It measures the output produced relative to all inputs used. On the other hand, labor productivity specifically focuses on the efficiency of labor input in producing goods or services. It measures the output produced per unit of labor input, such as per hour or per employee. Both total productivity and labor productivity are important indicators of a company's efficiency and performance.
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What does innovation mean exactly?
Innovation refers to the process of creating new ideas, products, or methods that bring about positive change or improvement. It involves thinking outside the box, taking risks, and challenging the status quo to develop something that is novel and valuable. Innovation can occur in various fields, such as technology, business, science, and the arts, and it often leads to advancements that benefit society as a whole. Overall, innovation is about pushing boundaries and finding creative solutions to address existing challenges or meet new needs.
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Computational 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 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.
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Essential Genetics And Genomics
Genetics. Simplified. Dan Hartl once again takes students on the exciting journey of learning about modern genetics in an updated seventh edition of Essential Genetics and Genomics.With carefully chosen topics to help students attain scientific competency, Dr. Hartl expertly covers the fundamentals of genetics from the perspective of genomics, including gene transmission, mutation, expression, and regulation.New and updated Stop & Think problems, Key Concept checks, and Human Connection feature boxes throughout chapters, along with extensive end-of-chapter review and study material that encourages students to analyze and apply new skills, further emphasize the text's focus on student success.The seamless integration of “molecular genetics” and “classical genetics” coupled with the copious practice and problem-solving opportunities make Essential Genetics and Genomics, Seventh Edition a unique resource for learning and applying genetics to our world. To ensure students are prepared for introductory genetics, a new online Readiness Assessment is available to complete prior to diving into the material.Students simply answer the online questions to obtain a personalized score with tailored areas to focus their review.Students are then directed to the color-coded Readiness Review section in the back of the text to practice the areas where study is needed.Sections include Math in Genetics, Science Prerequisites, and Thinking Like a Scientist.Never has learning genetics been so straightforward!
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Bioinformatics and Functional Genomics
The bestselling introduction to bioinformatics and genomics – now in its third edition Widely received in its previous editions, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new discipline.Now in a thoroughly updated and expanded third edition, it continues to be the go-to source for students and professionals involved in biomedical research. This book provides up-to-the-minute coverage of the fields of bioinformatics and genomics.Features new to this edition include: Extensive revisions and a slight reorder of chapters for a more effective organizationA brand new chapter on next-generation sequencingAn expanded companion website, also updated as and when new information becomes availableGreater emphasis on a computational approach, with clear guidance of how software tools work and introductions to the use of command-line tools such as software for next-generation sequence analysis, the R programming language, and NCBI search utilities The book is complemented by lavish illustrations and more than 500 figures and tables - many newly-created for the third edition to enhance clarity and understanding.Each chapter includes learning objectives, a problem set, pitfalls section, boxes explaining key techniques and mathematics/statistics principles, a summary, recommended reading, and a list of freely available software.Readers may visit a related Web page for supplemental information such as PowerPoints and audiovisual files of lectures, and videocasts of how to perform many basic operations: www.wiley.com/go/pevsnerbioinformatics. Bioinformatics and Functional Genomics, Third Edition serves as an excellent single-source textbook for advanced undergraduate and beginning graduate-level courses in the biological sciences and computer sciences.It is also an indispensable resource for biologists in a broad variety of disciplines who use the tools of bioinformatics and genomics to study particular research problems; bioinformaticists and computer scientists who develop computer algorithms and databases; and medical researchers and clinicians who want to understand the genomic basis of viral, bacterial, parasitic, or other diseases.
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Data Science for Genomics
Data Science for Genomics presents the foundational concepts of data science as they pertain to genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision-making.Sections cover Data Science, Machine Learning, Deep Learning, data analysis, and visualization techniques.The authors then present the fundamentals of Genomics, Genetics, Transcriptomes and Proteomes as basic concepts of molecular biology, along with DNA and key features of the human genome, as well as the genomes of eukaryotes and prokaryotes. Techniques that are more specifically used for studying genomes are then described in the order in which they are used in a genome project, including methods for constructing genetic and physical maps.DNA sequencing methodology and the strategies used to assemble a contiguous genome sequence and methods for identifying genes in a genome sequence and determining the functions of those genes in the cell.Readers will learn how the information contained in the genome is released and made available to the cell, as well as methods centered on cloning and PCR.
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What exactly does innovation mean?
Innovation refers to the process of creating new ideas, products, or methods that bring about positive change or improvement. It involves thinking outside the box, taking risks, and challenging the status quo to develop something unique and valuable. Innovation can occur in various fields such as technology, business, science, and art, and is essential for driving progress and growth in society.
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How does artificially created creativity or computer creativity work?
Artificially created creativity or computer creativity works by using algorithms and machine learning techniques to generate new and innovative ideas, designs, or solutions. These algorithms are trained on large datasets of existing creative works, such as art, music, or literature, and then use that knowledge to generate new content. The process often involves a combination of pattern recognition, probabilistic modeling, and optimization to produce creative outputs that mimic human creativity. While the results may not always be indistinguishable from human creativity, they can still be valuable for generating new ideas and inspiration.
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What does productivity mean?
Productivity refers to the efficiency with which resources are utilized to achieve a specific goal or outcome. It is a measure of how much output is produced relative to the input used in the production process. Productivity is often used to assess the performance and effectiveness of individuals, teams, or organizations in achieving their objectives. Increasing productivity typically involves optimizing processes, reducing waste, and improving the quality and quantity of output.
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Is creativity learnable?
Yes, creativity is learnable. While some people may have a natural inclination towards creativity, it is a skill that can be developed and honed through practice and exposure to new ideas and experiences. By engaging in activities that stimulate the imagination, such as brainstorming, exploring different perspectives, and trying new things, individuals can enhance their creative abilities. Additionally, learning techniques for problem-solving, critical thinking, and divergent thinking can also help foster creativity. Overall, with the right mindset and effort, anyone can cultivate and improve their creativity.
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