Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
제공자:
Genomic Data Science 특화 과정존스홉킨스대학교이 강좌에 대하여
최근 조회 70,878회
학습자 경력 결과
20%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
14%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 8개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 7시간 필요
영어
자막: 영어
귀하가 습득할 기술
BioinformaticsData AnalysisGenomeGenomics
학습자 경력 결과
20%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
14%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 8개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 7시간 필요
영어
자막: 영어
제공자:
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 필요
Introduction
This week, we will present some of the research challenges that motivated the development of the Galaxy framework. We will then introduce Galaxy, describe what the Galaxy framework is, and look at different ways you can use it.
완료하는 데 1시간 필요
2개 동영상 (총 13분), 4 개의 읽기 자료, 1 개의 테스트
4개의 읽기 자료
Welcome10m
Syllabus10m
Pre-Course Survey10m
A Note about AWS10m
1개 연습문제
Module 1 Quiz22m
완료하는 데 2시간 필요
Galaxy 101
In this module and the following modules we will start to use Galaxy to perform different types of analysis.
완료하는 데 2시간 필요
3개 동영상 (총 42분)
3개의 동영상
Galaxy 101: Workflows12m
Annotation, Sharing, and Publishing13m
1개 연습문제
Module 2 Quiz56m
완료하는 데 1시간 필요
Working with sequence data
In this module we will be studying sequence data quality control as well as ChIP-Sequence Analysis with MACS.
완료하는 데 1시간 필요
2개 동영상 (총 25분)
1개 연습문제
Module 3 Quiz18m
완료하는 데 4시간 필요
RNA-seq & Running your own Galaxy
In these final modules, we'll take a look at working with sequence data and RNA-seq and at installing and running your own Galaxy.
완료하는 데 4시간 필요
4개 동영상 (총 49분), 2 개의 읽기 자료, 3 개의 테스트
4개의 동영상
RNA Sequence Analysis: Assembly Quantitation, and Differential Expression12m
Installing Galaxy Locally8m
Galaxy on the Cloud19m
2개의 읽기 자료
TopHat availability10m
Post-Course Survey10m
2개 연습문제
Module 4 Quiz22m
Module 5 Quiz20m
검토
GENOMIC DATA SCIENCE WITH GALAXY의 최상위 리뷰
DT 제공2017년 8월 25일
Highly instructive course on using Galaxy. Gives a very good flavour of the benefits, actual workflows and even a bit of administration in terms of installing your own version or a cloud version.
BG 제공2018년 2월 2일
Great Course if you are interested in dissecting the genome. Galaxy opens up this invisible world and allows even us little people to explore the world once reserved to only Academia.
GK 제공2018년 9월 5일
This was a lot of work and rewarding to complete. The final project was challenging and the forum contributors helped a lot in pointing out good resources or strategies they had used.
RC 제공2016년 6월 11일
Great instructor with clear and thorough understanding of the material. If you don't have any experience with this technology, this course will walk you through it patiently.
Genomic Data Science 특화 과정 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.
자주 묻는 질문
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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