PROGRAM DESCRIPTION
The California Institute of Genetics “Graduate Certificate in Genomics and Bioinformatics” is a 5 month online instructor-led program consisting of 5 courses, with 3 credits per course earning a total of 15 credits by the end of the program. Earning credits, as in any regular classroom-based or hybrid model program, is an added advantage of this program in this highly competitive field towards constructing a robust career. This five course program is divided into two sections. The first section deals with topics related to genetics, molecular genetics, and genomics, while in the second section, basics of bioinformatics and advanced bioinformatics are covered. These courses are instructor-led and allow students to participate in interactive activities leading to the clarification of doubts as well as encouraging them to participate in discussions.
OVERVIEW OF CURRICULUM
With the increasing recent trends and developments in bioinformatics and genomics, its pertinent to offer a blended learning of genomics and advanced bioinformatics.
A trend that is gaining significant attention presently is that bioinformatics is fundamentally altering precision medicine by analyzing large amounts of genomic data to customize treatments and therapies for individual patients. It is also being used to predict three-dimensional protein structure, which is crucial for understanding their function and developing new drugs. Parallel to this advancement is genome sequencing, where next-generation sequencing technologies enable researchers to sequence entire genomes more rapidly and efficiently. Likewise is the trend with the use of RNA-based therapies, such as mRNA vaccines and RNA interference, and the CRISPR-Cas9 gene editing technology that is currently being used to develop novel treatments for genetic diseases. Genomics is another approach being used to study endangered species and predict protein structure for better understanding and drug development.
Taking these elements into account, the California Institute of Genetics has developed a curriculum that helps students understand the basics of genetics, molecular genetics, genomics, and the application of artificial intelligence and bioinformatics tools in understanding the etiology of a hereditary disease.
In the curriculum, these trends and developments highlight the interdisciplinary aspect of these fields and the potential they possess for improving individuals' health and furthering scientific knowledge.
Applications of Human Genome Project to mankind and in the field of forensics following DNA fingerprinting method and some aspects of Pharma...
This course provides an overview of the field, its interdisciplinary nature, and its applications in biological research, emphasizing the us...
The module covers sequence alignment techniques, pairwise alignment algorithms, multiple sequence alignment techniques, phylogenetics and ev...
The course covers protein structure prediction, alignment and comparison, and structural bioinformatics databases. It covers methods for pre...
This course covers molecular docking principles, algorithms, and software used for molecular dynamics simulations. It covers principles, alg...
GENOMICS
This course explores cell structure, function, cell cycle, division, cell death, gene expression, and genome organization, highlighting the Human Genome Project's applications in forensics, DNA fingerprinting, pharmacogenomics, and functional genomics and its achievements.
BIOINFORMATICS
These courses lay the foundation and provide a detailed understanding of various key concepts and techniques in bioinformatics, covering sequence analysis, gene identification, genome-wide analysis, drug discovery, molecular modeling, molecular docking, and dynamics simulations.
All modules have been designed to engage you as a learner. You should sign up on the LMS portal and enroll in to the online program by paying by credit card. The course are taught by the CalGenetics faculty via zoom online class. You will have your own login credentials to access the LMS Portal.
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