📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Next-Generation Sequencing Data Analysis Course, from foundations to a certified capstone project.
Outline
Analyze the fundamental principles of molecular biology and genetics to understand the basis of next-generation sequencing technologies • Evaluate the different types of next-generation sequencing platforms and their applications in various fields of research • Design experimental approaches to generate high-quality sequencing data and troubleshoot common issues in sequencing workflows
Outline
Configure and optimize laboratory protocols for nucleic acid extraction, library preparation, and sequencing • Develop and implement quality control measures to ensure the integrity and accuracy of sequencing data • Operate and maintain sequencing instruments, including troubleshooting and resolving technical issues
Outline
Implement bioinformatics pipelines for data preprocessing, alignment, and variant calling using tools such as BWA and GATK • Analyze and interpret sequencing data using statistical and computational methods, including machine learning and data visualization techniques • Develop and apply custom scripts and workflows using programming languages such as Python and R to automate data analysis tasks
Outline
Design and develop research studies using next-generation sequencing technologies, including hypothesis testing and sample size calculation • Evaluate and select appropriate sequencing strategies and protocols for specific research questions and applications • Develop and implement data management plans to ensure the organization, storage, and sharing of sequencing data
Outline
Apply advanced bioinformatics tools and techniques, such as single-cell RNA sequencing and chromatin immunoprecipitation sequencing, to analyze and interpret complex sequencing data • Develop and implement machine learning models to predict genomic features and identify patterns in sequencing data • Integrate and analyze multi-omics data, including genomics, transcriptomics, and proteomics, to understand complex biological systems
Outline
Evaluate and apply regulatory guidelines and standards for the use of next-generation sequencing technologies in research and clinical settings • Develop and implement bioethics and safety protocols for the handling and analysis of human subjects data and biological samples • Configure and maintain laboratory safety equipment and procedures to ensure a safe working environment
Outline
Analyze and evaluate the applications of next-generation sequencing technologies in various industries, including biotechnology, pharmaceuticals, and healthcare • Develop and implement career development plans and strategies for professionals in the field of next-generation sequencing • Evaluate and discuss case studies of successful applications of next-generation sequencing technologies in research and industry settings
Earn government-registered certification in Next-Generation Sequencing Data Analysis Course
e-Certificate and e-Marksheet issued on successful completion.
