Subject – Bioinformatics and Computational Biology
Industry – Machine Learning and AI
Introduction:
Welcome to the eLearning course on Genomic Data Analysis and Sequencing, brought to you by T24Global Company. In this course, we will explore the fascinating field of genomics and its intersection with machine learning and artificial intelligence (AI).
Genomics, the study of an organism’s complete set of DNA, has revolutionized the field of biology and healthcare. With the advent of high-throughput sequencing technologies, researchers can now generate vast amounts of genomic data at an unprecedented rate. However, the analysis and interpretation of this data pose significant challenges due to its complexity and sheer volume.
Machine learning and AI have emerged as powerful tools to tackle these challenges. By leveraging computational algorithms and statistical models, these technologies enable us to extract meaningful insights from genomic data, leading to breakthroughs in personalized medicine, disease prediction, and drug discovery.
In this course, we will begin by providing a comprehensive overview of genomic data analysis and sequencing. We will explore the different types of genomic data, such as DNA sequences, gene expression profiles, and epigenetic modifications. Understanding the characteristics and structure of these data types is crucial for applying machine learning and AI techniques effectively.
Next, we will delve into the fundamentals of machine learning and AI. We will cover key concepts such as supervised and unsupervised learning, feature selection, dimensionality reduction, and model evaluation. Additionally, we will explore popular machine learning algorithms and their applications in genomics, including decision trees, random forests, support vector machines, and deep learning.
Once we have established a solid foundation in both genomics and machine learning, we will dive into the specific applications of AI in genomic data analysis. We will explore how AI techniques can be used for variant calling, genomic variant annotation, gene expression analysis, and predicting the functional impact of genetic variants. Furthermore, we will discuss the challenges and limitations of these approaches and explore potential solutions.
Throughout the course, we will provide hands-on experience with real-world genomic datasets and state-of-the-art tools and software. You will have the opportunity to apply machine learning and AI techniques to analyze genomic data, interpret the results, and gain practical insights into the field.
By the end of this course, you will have a solid understanding of the principles and methodologies of genomic data analysis and sequencing using machine learning and AI. You will be equipped with the necessary skills to contribute to cutting-edge research in genomics and make a significant impact in the field of personalized medicine.
We are excited to embark on this journey with you and look forward to exploring the fascinating world of genomics and its integration with machine learning and AI. Let’s get started!
NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/genomic-data-analysis-and-sequencing/ (copy URL)
===============
Lessons Included