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.
이 강좌는 Genomic Data Science 전문 분야의 일부입니다.
Introduction to Genomic Technologies
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About this Course
최근 조회 104,518회
학습자 경력 결과
35%
이 강좌를 수료한 후 새로운 경력 시작하기
27%
이 강좌를 통해 확실한 경력상 이점 얻기
귀하가 습득할 기술
BioinformaticsStatisticsData ScienceComputational Biology
학습자 경력 결과
35%
이 강좌를 수료한 후 새로운 경력 시작하기
27%
이 강좌를 통해 확실한 경력상 이점 얻기
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 8개 강좌 중 1번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 8시간 필요
영어
자막: 영어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 2시간 필요
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".
완료하는 데 2시간 필요
8개 동영상 (총 81분), 2 readings, 1 quiz
8개의 동영상
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
2개의 읽기 자료
Syllabus10m
Pre-Course Survey10m
1개 연습문제
Quiz 1: Overview and Molecular Biology20m
완료하는 데 1시간 필요
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
완료하는 데 1시간 필요
3개 동영상 (총 25분)
1개 연습문제
Quiz 2: Measurement Technology20m
완료하는 데 1시간 필요
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.
완료하는 데 1시간 필요
6개 동영상 (총 39분)
6개의 동영상
Algorithms4m
Memory and Data Structures6m
Efficiency3m
Software Engineering8m
What is Computational Biology Software11m
1개 연습문제
Quiz 3: Computing Technology20m
완료하는 데 2시간 필요
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.
완료하는 데 2시간 필요
10개 동영상 (총 55분), 2 readings, 2 quizzes
10개의 동영상
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
2개의 읽기 자료
Course Project Instructions and Reading10m
Post-Course Survey10m
2개 연습문제
Quiz 4: Data Science Technology20m
Course Project20m
검토
4.5
INTRODUCTION TO GENOMIC TECHNOLOGIES의 최상위 리뷰
KK 제공Nov 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!
GH 제공Oct 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.
MR 제공Jun 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.
SM 제공Sep 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.
KT 제공Nov 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
EO 제공Feb 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.
CS 제공Jun 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!
SZ 제공Mar 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.
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존스홉킨스대학교
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.
Genomic Data Science 전문 분야 정보
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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