"Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations" ed. by Ali Samadikuchaksaraei

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.

Genomic variations and phenotypic diversity are closely linked and form the underlying mechanism for development of many human diseases.
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.


Contents
1.The Bioinformatics Tools for Discovery of Genetic Diversity by Means of Elastic Net and Hurst Exponent
2.Bioinformatics Workflows for Genomic Variant Discovery, Interpretation and Prioritization
3.Orienting Future Trends in Local Ancestry Deconvolution Models to Optimally Decipher Admixed Individual Genome Variations
4.Recognition of Multiomics-Based Molecule-Pattern Biomarker for Precise Prediction, Diagnosis, and Prognostic Assessment in Cancer
5.HCV Genotyping with Concurrent Profiling of Resistance-Associated Variants by NGS Analysis