Embark on a transformative journey with the Bioinformatics Specialization offered by the University of California San Diego. This cutting-edge course delves into the power of computational approaches in unraveling the secrets of modern biology. With a focus on bioinformatics software, you'll gain insight into sequencing and comparing genomes, identifying genetic disease factors, and constructing the evolutionary Tree of Life.
Discover a toolkit of existing software resources used by thousands of biologists daily, empowering you to navigate one of the fastest-growing fields in science. Whether you're a programming enthusiast or a novice, this specialization offers an "Honors Track" for implementing bioinformatics algorithms through coding challenges, leading you to become a bioinformatics software professional.
Get ready to dive into the fascinating world of bioinformatics and computational biology, where you'll unlock the potential of modern biological research without ever needing to put on a lab coat.
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Get Started / More InfoExplore the Bioinformatics Specialization's comprehensive modules, covering DNA messages, genome sequencing, comparing genes and proteins, molecular evolution, genomic data science, and more.
Discover the power of computing in modern biology with "Finding Hidden Messages in DNA". Uncover the secrets of DNA replication, molecular clocks, and the language of DNA through algorithms and randomized techniques.
Delve into "Genome Sequencing" and learn how graph theory and brute force algorithms are used to assemble genomes from short DNA fragments. Explore the world of antibiotics and the sequencing of bacterial genomes.
Embark on "Comparing Genes, Proteins, and Genomes" to understand how biological sequences are compared using dynamic programming. Dive into genome rearrangements and sequence alignment with popular bioinformatics software tools.
Uncover the construction of an "Evolutionary Tree of Life" and explore computational proteomics to resolve evolutionary quandaries. Learn to apply bioinformatics software tools to reconstruct evolutionary trees and identify sources of epidemics.
Master "Genomic Data Science and Clustering" to address various biological questions using algorithmic and machine learning techniques. Gain insights into gene orchestration and human migration through clustering and principal components analysis.
Advance your skills in "Finding Mutations in DNA and Proteins", exploring mapping individual genomes to reference genomes and identifying protein functions using hidden Markov models. Apply popular bioinformatics software tools to compare proteins within related families.
Cap off your journey with the "Bioinformatics Capstone: Big Data in Biology", where you'll use the BaseSpace cloud platform to apply bioinformatics software approaches to real biological data, including genome assembly, RNA sequencing, and mutation analysis.
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