Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Exome Sequence Analysis And Interpretation
Download Exome Sequence Analysis And Interpretation full books in PDF, epub, and Kindle. Read online Exome Sequence Analysis And Interpretation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Exome Sequence Analysis and Interpretation by : Vinod Scaria
Download or read book Exome Sequence Analysis and Interpretation written by Vinod Scaria and published by Research in Genomics. This book was released on 2015-02-11 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise handbook on exome sequencing for clinicians and clinical geneticists.
Book Synopsis The Hitchhiker's Guide to Whole Exome Analysis by : Shrey Gandhi
Download or read book The Hitchhiker's Guide to Whole Exome Analysis written by Shrey Gandhi and published by Research in Genomics. This book was released on 2016-11-15 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: A handbook on computational analysis of whole exome sequence data
Book Synopsis Biological Sequence Analysis by : Richard Durbin
Download or read book Biological Sequence Analysis written by Richard Durbin and published by Cambridge University Press. This book was released on 1998-04-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Author :Peter Nicholas Robinson Publisher :Chapman & Hall/CRC Mathematical and Computational Biology ISBN 13 :9781498775984 Total Pages :557 pages Book Rating :4.7/5 (759 download)
Book Synopsis Computational Exome and Genome Analysis by : Peter Nicholas Robinson
Download or read book Computational Exome and Genome Analysis written by Peter Nicholas Robinson and published by Chapman & Hall/CRC Mathematical and Computational Biology. This book was released on 2017 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cover -- Half Title -- Series Editor -- Published Titles -- Title -- Copyright -- Dedication -- Contents -- Who is this book for? -- Preface -- Contributors -- Part I Introduction -- Chapter 1 Introduction: Whole Exome and Genome Sequencing -- Chapter 2 NGS Technology -- Chapter 3 Illumina Technology -- Chapter 4 Data -- Part II Raw Data Processing -- Chapter 5 FASTQ Format -- Chapter 6 Raw Data: Quality Control -- Chapter 7 Trimming -- Part III Alignment -- Chapter 8 Alignment: Mapping Reads to the Reference Genome -- Chapter 9 SAM/BAM Format -- Chapter 10 Postprocessing the Alignment -- Chapter 11 Alignment Data: Quality Control -- Part IV Variant Calling -- Chapter 12 Variant Calling and Quality- Based Filtering -- Chapter 13 Variant Call Format (VCF) -- Chapter 14 Jannovar -- Chapter 15 Variant Annotation -- Chapter 16 Variant Calling: Quality Control -- Chapter 17 Integrative Genomics Viewer (IGV): Visualizing Alignments and Variants -- Chapter 18 De Novo Variants -- Chapter 19 Structural Variation -- Part V Variant Filtering -- Chapter 20 Pedigree and Linkage Analysis -- Chapter 21 Intersection Analysis and Rare Variant Association Studies -- Chapter 22 Variant Frequency Analysis -- Chapter 23 Variant Pathogenicity Prediction -- Part VI Prioritization -- Chapter 24 Variant Prioritization -- Chapter 25 Prioritization by Random Walk Analysis -- Chapter 26 Phenotype Analysis -- Chapter 27 Exomiser and Genomiser -- Chapter 28 Medical Interpretation -- Part VII Cancer -- Chapter 29 A (Very) Short Introduction to Cancer -- Chapter 30 Somatic Variants in Cancer -- Chapter 31 Tumor Evolution and Sample Purity -- Chapter 32 Driver Mutations and Mutational Signatures -- Appendix A Hints and Answers -- References -- Index
Book Synopsis Precision Cancer Medicine by : Sameek Roychowdhury
Download or read book Precision Cancer Medicine written by Sameek Roychowdhury and published by Springer Nature. This book was released on 2020-01-02 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic sequencing technologies have augmented the classification of cancer beyond tissue of origin and towards a molecular taxonomy of cancer. This has created opportunities to guide treatment decisions for individual patients with cancer based on their cancer’s unique molecular characteristics, also known as precision cancer medicine. The purpose of this text will be to describe the contribution and need for multiple disciplines working together to deliver precision cancer medicine. This entails a multi-disciplinary approach across fields including molecular pathology, computational biology, clinical oncology, cancer biology, drug development, genetics, immunology, and bioethics. Thus, we have outlined a current text on each of these fields as they work together to overcome various challenges and create opportunities to deliver precision cancer medicine. As trainees and junior faculty enter their respective fields, this text will provide a framework for understanding the role and responsibility for each specialist to contribute to this team science approach.
Book Synopsis Computational Exome and Genome Analysis by : Peter N. Robinson
Download or read book Computational Exome and Genome Analysis written by Peter N. Robinson and published by CRC Press. This book was released on 2017-09-13 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics. Computational Exome and Genome Analysis provides a practical introduction to all of the major areas in the field, enabling readers to develop a comprehensive understanding of the sequencing process and the entire computational analysis pipeline.
Book Synopsis Computational Genomics with R by : Altuna Akalin
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 462 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.
Book Synopsis Clinical Applications for Next-Generation Sequencing by : Urszula Demkow
Download or read book Clinical Applications for Next-Generation Sequencing written by Urszula Demkow and published by Academic Press. This book was released on 2015-09-10 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Applications for Next Generation Sequencing provides readers with an outstanding postgraduate resource to learn about the translational use of NGS in clinical environments. Rooted in both medical genetics and clinical medicine, the book fills the gap between state-of-the-art technology and evidence-based practice, providing an educational opportunity for users to advance patient care by transferring NGS to the needs of real-world patients. The book builds an interface between genetic laboratory staff and clinical health workers to not only improve communication, but also strengthen cooperation. Users will find valuable tactics they can use to build a systematic framework for understanding the role of NGS testing in both common and rare diseases and conditions, from prenatal care, like chromosomal abnormalities, up to advanced age problems like dementia. Fills the gap between state-of-the-art technology and evidence-based practice Provides an educational opportunity which advances patient care through the transfer of NGS to real-world patient assessment Promotes a practical tool that clinicians can apply directly to patient care Includes a systematic framework for understanding the role of NGS testing in many common and rare diseases Presents evidence regarding the important role of NGS in current diagnostic strategies
Book Synopsis Deep Sequencing Data Analysis by : Noam Shomron
Download or read book Deep Sequencing Data Analysis written by Noam Shomron and published by Humana Press. This book was released on 2013-07-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new genetic revolution is fuelled by Deep Sequencing (or Next Generation Sequencing) apparatuses which, in essence, read billions of nucleotides per reaction. Effectively, when carefully planned, any experimental question which can be translated into reading nucleic acids can be applied.In Deep Sequencing Data Analysis, expert researchers in the field detail methods which are now commonly used to study the multi-facet deep sequencing data field. These included techniques for compressing of data generated, Chromatin Immunoprecipitation (ChIP-seq), and various approaches for the identification of sequence variants. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Deep Sequencing Data Analysis seeks to aid scientists in the further understanding of key data analysis procedures for deep sequencing data interpretation.
Book Synopsis Medical and Health Genomics by : Dhavendra Kumar
Download or read book Medical and Health Genomics written by Dhavendra Kumar and published by Academic Press. This book was released on 2016-06-04 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical and Health Genomics provides concise and evidence-based technical and practical information on the applied and translational aspects of genome sciences and the technologies related to non-clinical medicine and public health. Coverage is based on evolving paradigms of genomic medicine—in particular, the relation to public and population health genomics now being rapidly incorporated in health management and administration, with further implications for clinical population and disease management. Provides extensive coverage of the emergent field of health genomics and its huge relevance to healthcare management Presents user-friendly language accompanied by explanatory diagrams, figures, and many references for further study Covers the applied, but non-clinical, sciences across disease discovery, genetic analysis, genetic screening, and prevention and management Details the impact of clinical genomics across a diverse array of public and community health issues, and within a variety of global healthcare systems
Book Synopsis Assessing Rare Variation in Complex Traits by : Eleftheria Zeggini
Download or read book Assessing Rare Variation in Complex Traits written by Eleftheria Zeggini and published by Springer. This book was released on 2015-08-13 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is unique in covering a wide range of design and analysis issues in genetic studies of rare variants, taking advantage of collaboration of the editors with many experts in the field through large-scale international consortia including the UK10K Project, GO-T2D and T2D-GENES. Chapters provide details of state-of-the-art methodology for rare variant detection and calling, imputation and analysis in samples of unrelated individuals and families. The book also covers analytical issues associated with the study of rare variants, such as the impact of fine-scale population structure, and with combining information on rare variants across studies in a meta-analysis framework. Genetic association studies have in the last few years substantially enhanced our understanding of factors underlying traits of high medical importance, such as body mass index, lipid levels, blood pressure and many others. There is growing empirical evidence that low-frequency and rare variants play an important role in complex human phenotypes. This book covers multiple aspects of study design, analysis and interpretation for complex trait studies focusing on rare sequence variation. In many areas of genomic research, including complex trait association studies, technology is in danger of outstripping our capacity to analyse and interpret the vast amounts of data generated. The field of statistical genetics in the whole-genome sequencing era is still in its infancy, but powerful methods to analyse the aggregation of low-frequency and rare variants are now starting to emerge. The chapter Functional Annotation of Rare Genetic Variants is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Download or read book Neurogenetics, Part II written by and published by Elsevier. This book was released on 2018-01-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurogenetics, Part II, Volume 148, the latest release in the Handbook of Clinical Neurology, provides the latest information on the genetic methodologies that are having a significant impact on the study of neurological and psychiatric disorders. Using genetic science, researchers have identified over 200 genes that cause or contribute to neurological disorders. Still an evolving field of study, defining the relationship between genes and neurological and psychiatric disorders is expected to dramatically grow in scope. Part II builds on the foundation of Part I, expanding the coverage to dementias, paroxysmal disorders, neuromuscular disorders, white matter and demyelination diseases, cerebrovascular diseases, adult psychiatric disorders and cancer and phacomatoses. Contains comprehensive coverage of neurogenetics Details the latest science and its impact on our understanding of neurological, psychiatric disorders Presents a focused reference for clinical practitioners and the neuroscience/neurogenetics research community
Book Synopsis Familial Studies in Whole Exome and Genome Sequencing by : Janice L. Farlow
Download or read book Familial Studies in Whole Exome and Genome Sequencing written by Janice L. Farlow and published by . This book was released on 2015 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Population genetics has been revolutionized by the advent of high-throughput sequencing (HTS) methods in the 21st century. Modern day sequencers are now capable of sequencing entire exomes and genomes at unprecedented speed and accuracy. An explosion of bioinformatics software and data analysis tools now makes sequencing accessible for gene discovery in both rare Mendelian and complex disease. Family-based sequencing studies in particular have great potential for elucidating the genetic basis for many more diseases. We apply both whole exome and genome sequencing to three different cases of familial disease: intracranial aneurysm (IA), Parkinson disease (PD), and X-linked ataxia dementia (XLAD). IA and PD are both common, complex traits that inflict a devastating disease burden worldwide, mostly due to few effective therapeutic interventions. Little of the heritability of both IA and PD has been explained to date, especially as it relates to the impact of rare variation on disease. XLAD is an extremely rare neurological disease described thus far in one kindred. Although promising results have been achieved through previous genetic study designs, the causative gene has not yet been identified. For all three diseases, HTS offers an opportunity to explore the role of rare variation in disease pathogenesis. In each study, we explore the opportunities and challenges of family-based HTS for different disease models. The work presented herein contributes effective practices for study design, analysis, and interpretation in a rapidly growing field still replete with questions about how best to implement HTS in studying familial disease.
Book Synopsis Clinical Genomics by : Shashikant Kulkarni
Download or read book Clinical Genomics written by Shashikant Kulkarni and published by Academic Press. This book was released on 2014-11-10 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Genomics provides an overview of the various next-generation sequencing (NGS) technologies that are currently used in clinical diagnostic laboratories. It presents key bioinformatic challenges and the solutions that must be addressed by clinical genomicists and genomic pathologists, such as specific pipelines for identification of the full range of variants that are clinically important. This book is also focused on the challenges of diagnostic interpretation of NGS results in a clinical setting. Its final sections are devoted to the emerging regulatory issues that will govern clinical use of NGS, and reimbursement paradigms that will affect the way in which laboratory professionals get paid for the testing. Simplifies complexities of NGS technologies for rapid education of clinical genomicists and genomic pathologists towards genomic medicine paradigm Tried and tested practice-based analysis for precision diagnosis and treatment plans Specific pipelines and meta-analysis for full range of clinically important variants
Book Synopsis Genome Data Analysis by : Ju Han Kim
Download or read book Genome Data Analysis written by Ju Han Kim and published by Springer. This book was released on 2019-04-30 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.
Book Synopsis Precision Medicine for Investigators, Practitioners and Providers by : Joel Faintuch
Download or read book Precision Medicine for Investigators, Practitioners and Providers written by Joel Faintuch and published by Academic Press. This book was released on 2019-11-16 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Medicine for Investigators, Practitioners and Providers addresses the needs of investigators by covering the topic as an umbrella concept, from new drug trials to wearable diagnostic devices, and from pediatrics to psychiatry in a manner that is up-to-date and authoritative. Sections include broad coverage of concerning disease groups and ancillary information about techniques, resources and consequences. Moreover, each chapter follows a structured blueprint, so that multiple, essential items are not overlooked. Instead of simply concentrating on a limited number of extensive and pedantic coverages, scholarly diagrams are also included. Provides a three-pronged approach to precision medicine that is focused on investigators, practitioners and healthcare providers Covers disease groups and ancillary information about techniques, resources and consequences Follows a structured blueprint, ensuring essential chapters items are not overlooked
Book Synopsis Whole Exome Sequencing Analysis of Individuals with Autism Spectrum Disorder by : Andrea Lynn Procko
Download or read book Whole Exome Sequencing Analysis of Individuals with Autism Spectrum Disorder written by Andrea Lynn Procko and published by . This book was released on 2016 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and interaction and the presence of repetitive behaviors and or restricted interests. ASD has heterogeneous genetic and environmental etiologies, but for most individuals with ASD the genetic cause is unknown. Determining the genetic factors contributing to an individual’s ASD phenotype is a goal in the clinic setting, as well as an important mechanism for understanding the broader pathology of ASD. As part of a larger research study, individuals with ASD and some family members had whole exome sequencing. For six probands with samples from both parents available, potential de novo variants were identified and assessed for their ability to contribute to the proband’s ASD phenotype. Some variants were in genes previously associated with non-syndromic ASD, and variants in common pathways across different probands were identified, including those involved in axon guidance. For an additional proband an analysis of the chromosomal region identified as a small deletion by a clinical microarray was completed to assess if sequence level information could contribute to the interpretation of this result. The analysis lessened the suspicion that this copy number variant contributed to the proband’s ASD phenotype. Future analysis of this data set, especially inherited variants, will continue to identify biological processes that affect the complex ASD phenotype. As an emerging technology in the genetics clinic and as a research tool, whole exome sequencing will contribute to our understanding of ASD and identify genetic targets for future discovery, diagnostics, and therapeutics.
