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HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective)
by Rita Kukafka- 4.7
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Approx. 14 hours to complete
HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. No additional hardware or software are required for this course....
Biology Meets Programming: Bioinformatics for Beginners
by Pavel Pevzner , Phillip Compeau- 4.3
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Approx. 19 hours to complete
Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www. coursera. coursera. org/learn/dna-analysis)....
Big Data, Genes, and Medicine
by Isabelle Bichindaritz- 4.2
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Approx. 40 hours to complete
This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. Genes and Data Introduction to the Course...
Finding Hidden Messages in DNA (Bioinformatics I)
by Pavel Pevzner , Phillip Compeau- 4.4
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Approx. 16 hours to complete
Named a top 50 MOOC of all time by Class Central! This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. Week 1: Welcome!...
Biomedical Visualisation
by Paul Rea , Amy Webster- 4.6
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Approx. 22 hours to complete
Visualisation is a rapidly progressive specialty in academia, research and industry, and becoming the future of science. With the advancement of digital technologies and their applications, biomedical visualisation is an evolving and popular field. Why not view our course trailer video. Copy and paste this link into your browser https://youtu. be/vB_QcIVSiTs...
Введение в Биоинформатику: Метагеномика (Introduction to Bioinformatics: Metagenomics)
by Alla L Lapidus , Михаил Райко , Павел Добрынин , Екатерина Черняева , Николай Вяххи- 0.0
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Approx. 8 hours to complete
Авторский коллектив курса «Введение в биоинформатику: метагеномика» был отмечен дипломом II степени в номинации "За способность понятно объяснять самые абстрактные идеи" на Международном конкурсе открытых онлайн-курсов EdCrunch Award в 2018 году. Метагеномика — раздел геномики, изучающий геном не отдельного организма, а совокупности обитателей микробных сообществ, живущих в разных природных условиях. д. Курс «Введение в биоинформатику: метагеномика» преследует три главные цели:...
Genome Sequencing (Bioinformatics II)
by Pavel Pevzner , Phillip Compeau- 4.6
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Approx. 17 hours to complete
You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome? Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA....
The Outcomes and Interventions of Health Informatics
by Harold P. Lehmann, MD, Ph.D. , Paul Nagy, PhD, FSIIM- 4.5
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Approx. 7 hours to complete
For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. Knowing Where to Intervene Motivation: Examples Should You? Should You? II: HIMSS Framework Does It Work? : Testing Is It Used? Does It Accomplish Goals?...
Molecular Evolution (Bioinformatics IV)
by Pavel Pevzner , Phillip Compeau- 4.6
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Approx. 17 hours to complete
In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes. One way we can use these methods is in order to construct a "Tree of Life" showing how a large collection of related organisms have evolved over time. How can we prove this? rex fossil closely matched peptides found in chickens....
Comparing Genes, Proteins, and Genomes (Bioinformatics III)
by Pavel Pevzner , Phillip Compeau , Nikolay Vyahhi- 4.7
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Approx. 22 hours to complete
Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i. e. , short sequences of DNA) or proteins....
