Detailed Course Syllabus:
Duration: 13 Weeks
Course Description:
Genomics is the study of the total genetic makeup of individual organisms, and how this genetic information is structured, functions, and has evolved; bioinformatics encompasses a diverse range of analytical methods and tools applied to genomic data. This Specialization focuses on performing complex bioinformatics analysis using the most essential Python libraries and applications.
In this course we will discover modern, next-generation sequencing libraries from the powerful Python ecosystem to perform cutting-edge research and analyze large amounts of biological data.
Course Outline:
Proteomics:
This would cover the study of proteins, their functions, and interactions, and the different techniques used for protein identification and quantification.
Bioinformatics Databases:
This would cover the different bioinformatics databases, such as NCBI, Ensembl, and UniProt, and how they can be used to store and retrieve biological data.
Bioinformatics Tools:
This would cover the different bioinformatics tools, such as BLAST, ClustalW, and MEGA, and how they can be used for sequence alignment, phylogenetic analysis, and other tasks.
Genomic Data Analysis:
This would cover the different techniques used for analyzing genomic data, including statistical analysis, machine learning, and data visualization.
Genomics Project Development:
This would cover the development of genomics projects from the ideation phase to the deployment phase, including data collection, analysis, and interpretation.