Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations
eBook - PDF

Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations

  1. 100 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations

About this book

Genomic variations and phenotypic diversity are closely linked and form the underlying mechanism for development of many human diseases. This book addresses the methods of detection, analysis, and interpretation of genomic variations in clinically relevant scenarios. If your research or clinical practice involves handling of genomic sequencing data, this book is for you. Topics covered include: methods for identifying genetic diversity, the workflow for analyzing whole exome and whole genome sequencing data, local ancestry deconvolution models, the value of molecular patterns and pattern biomarkers in cancer diagnosis and prognosis, and genotyping and profiling resistance-associated variants of hepatitis C. If your research or clinical practice involves handling of genomic sequencing data, this book is for you.

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Yes, you can access Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations by Ali Samadikuchaksaraei,Morteza Seifi, Ali Samadikuchaksaraei, Morteza Seifi in PDF and/or ePUB format, as well as other popular books in Computer Science & Bioinformatics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2019
Print ISBN
9781789237993
eBook ISBN
9781838818449
Topic
Computer Science
Subtopic
Bioinformatics
Index
Computer Science

Table of contents

  1. Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations
  2. Contents
  3. Preface
  4. Chapter1 The BioinformaticsTools for Discovery of Genetic Diversity by Means of Elastic Net and Hurst Exponent
  5. Chapter2 BioinformaticsWorkflows for GenomicVariant Discovery, Interpretation and Prioritization
  6. Chapter3 Orienting FutureTrends in Local Ancestry Deconvolution Models to Optimally Decipher Admixed Individual GenomeVariations
  7. Chapter4 Recognition of Multiomics-Based Molecule-Pattern Biomarker for Precise Prediction, Diagnosis, and Prognostic Assessment in Cancer
  8. Chapter5 HCV Genotyping with Concurrent Profiling of Resistance-Associated Variants by NGS Analysis