This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Genomic Data Science
Introduction to Genomic Technologies
von
Über diesen Kurs
117,421 kürzliche Aufrufe
Karriereergebnisse der Lernenden
35%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
27%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 8 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 6 Stunden zum Abschließen
Englisch
Untertitel: Englisch
Kompetenzen, die Sie erwerben
BioinformaticsStatisticsData ScienceComputational Biology
Karriereergebnisse der Lernenden
35%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
27%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 8 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 6 Stunden zum Abschließen
Englisch
Untertitel: Englisch
von
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Lehrplan - Was Sie in diesem Kurs lernen werden
2 Stunden zum Abschließen
Overview
In this Module, you can expect to study topics of "Just enough molecular biology", "The genome", "Writing a DNA sequence", "Central dogma", "Transcription", "Translation", and "DNA structure and modifications".
2 Stunden zum Abschließen
8 Videos (Gesamt 81 min), 2 Lektüren, 1 Quiz
8 Videos
What Is Genomics?7m
What Is Genomic Data Science?8m
Just Enough Cell Biology8m
Important Molecules in Molecular Biology7m
The Human Genome Project17m
Molecular Biology Structures9m
From Genes to Phenotypes9m
2 Lektüren
Syllabus10m
Pre-Course Survey10m
1 praktische Übung
Quiz 1: Overview and Molecular Biology20m
1 Stunde zum Abschließen
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
1 Stunde zum Abschließen
3 Videos (Gesamt 25 min)
1 praktische Übung
Quiz 2: Measurement Technology20m
1 Stunde zum Abschließen
Computing Technology
The lectures for this module cover a few basic topics in computing technology. We'll go over the foundations of computer science, algorithms, memory and data structures, efficiency, software engineering, and computational biology software.
1 Stunde zum Abschließen
6 Videos (Gesamt 39 min)
6 Videos
Algorithms4m
Memory and Data Structures6m
Efficiency3m
Software Engineering8m
What is Computational Biology Software11m
1 praktische Übung
Quiz 3: Computing Technology20m
2 Stunden zum Abschließen
Data Science Technology
In this module on Data Science Technology, we'll be covering quite a lot of information about how to handle the data produced during the sequencing process. We'll cover reproducibility, analysis, statistics, question types, the central dogma of inference, analysis code, testing, prediction, variation, experimental design, confounding, power, sample size, correlation, causation, and degrees of freedom.
2 Stunden zum Abschließen
10 Videos (Gesamt 55 min), 2 Lektüren, 2 Quiz
10 Videos
What Went Wrong?4m
The Central Dogma of Statistics3m
Data Sharing Plans4m
Getting Help with Statistics2m
Plotting Your Data5m
Sample Size and Variability7m
Statistical Significance6m
Multiple Testing7m
Study Design, Batch Effects, and Confounding7m
2 Lektüren
Course Project Instructions and Reading10m
Post-Course Survey10m
2 praktische Übungen
Quiz 4: Data Science Technology20m
Course Project20m
Bewertungen
Top-Bewertungen von INTRODUCTION TO GENOMIC TECHNOLOGIES
von KKNov 20, 2017
Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!
von GHOct 5, 2019
This course provides a gentle introduction to the concepts and terminology associated with genomics. As someone who never took a biology course in high school or university, this course is perfect.
von MRJun 12, 2016
Very good introductory course. It's a lot of material to cover for a newbie, but if you have some background, you will find you progress pretty quickly. Enjoyable, engaging, fun and useful.
von SMSep 7, 2019
This course is very well suitable for beginners. I am eagerly waiting to start the next course of the specialization for deeper understanding. Although, this course was very informative.
von KTNov 16, 2019
This course had gave me the overview of the statistical analyses for genomic data analysis. This is useful for me as I can employ those statistical Analyses knowledge in the near future
von EOFeb 13, 2020
Clear and concise. Ministered by researchers with outstanding background in research, able to translate topics of relatively high complexity into easy language for a broad audience.
von CSJun 23, 2019
Fantastic course from two true authorities in the field. Great examples, and I was surprisingly enthralled by the statistical section; turns out I just never had the right teacher!
von HHFeb 27, 2020
I belongs to Computer Science background instead of biological background this course enhanced my visualization and gave me answers of all why's related to computational biology .
von SZMar 5, 2020
The tutorial videos were concise while delivering the essential material. The speakers were also engaging and it was a joy to watch them. Overall fairly satisfied with the course.
von BSSep 1, 2016
The final project was way more work than any of the other weeks (10 hours!), but it was definitely worth stumbling my way around Galaxy and foreign genomic terms for that long.
von HKMay 5, 2017
Good introductory course, highly interdisciplinary. You will need some basic knowledge in molecular biology and statistics in order to better understand video lectures
von GHJun 24, 2017
This course lays out the foundation for the rest of the Specialization. The course feels a little light on content but the concepts it does cover are well described.
von HLAug 5, 2017
Nice module!!! I've learnt a lot!!\n\nI love the instructors so much, they not only taught us the knowledge clearly but explained them in plain English.\n\nThanks!
von GNNov 17, 2016
The explanations were very clear, and the content was simple enough to not be daunting yet the content was still very interesting, especially the final project.
von HRApr 17, 2019
Wish it was a bit more challenging for those of us in scientific research, but I understand the need to be broadly applicable. Enjoyed it and learned a lot.
von LJJan 7, 2019
A good basic overview of the subject. Can be skipped if you have some biology background as many of these topics are covered during a standard sequence.
von SZNov 19, 2018
Very good introduction to the field of computational genomics. Good overview of how biology, computation and statistics are intertwined to study genome.
von JMNov 26, 2016
I have significant background in this material. I enjoyed the presentation style and felt the quizzes and assignment were well matched to the material.
von AFJan 14, 2017
A thorough, yet concise introduction to the specialization and to some of the technical difficulties associate with genomic technologies. Thank you!
von VSOct 29, 2017
Nice and Valuable Course by John Hopkins University, Hats off instructor. Due to this Course I have cleared many doubts on Genome and Data Science.
Über den Spezialisierung Genomic Data Science
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.
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