Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
제공자:
Genomic Data Science 특화 과정존스홉킨스대학교이 강좌에 대하여
최근 조회 23,699회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 8개 강좌 중 6번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 8시간 필요
영어
자막: 영어
귀하가 습득할 기술
BioinformaticsBioconductorGenomicsR Programming
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 8개 강좌 중 6번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 8시간 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 3시간 필요
Week One
The class will cover how to install and use Bioconductor software. We will discuss common data structures, including ExpressionSets, SummarizedExperiment and GRanges used across several types of analyses.
완료하는 데 3시간 필요
16개 동영상 (총 126분), 3 개의 읽기 자료, 1 개의 테스트
16개의 동영상
Installing R on A Mac 2m
Installing R Studio on a Mac 1m
What is Bioconductor7m
Installing Bioconductor3m
The Bioconductor Website9m
Useful Online Resources5m
R Base Types18m
GRanges - Overview4m
IRanges - Basic Usage12m
GenomicRanges - GRanges8m
GenomicRanges - Basic GRanges Usage8m
GenomicRanges - seqinfo6m
AnnotationHub8m
Usecase: AnnotationHub and GRanges, part 112m
Usecase: AnnotationHub and GRanges, part 213m
3개의 읽기 자료
Welcome10m
Syllabus10m
Pre Course Survey10m
1개 연습문제
Quiz 120m
완료하는 데 2시간 필요
Week Two
In this week we will learn how to represent and compute on biological sequences, both at the whole-genome level and at the level of millions of short reads.
완료하는 데 2시간 필요
8개 동영상 (총 81분)
8개의 동영상
BSgenome6m
Biostrings - Matching6m
BSgenome - Views9m
GenomicRanges - Rle12m
GenomicRanges - Lists6m
GenomicFeatures18m
rtracklayer - Data Import14m
1개 연습문제
Quiz 220m
완료하는 데 2시간 필요
Week Three
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
완료하는 데 2시간 필요
9개 동영상 (총 79분)
9개의 동영상
Annotation Overview4m
ExpressionSet Overview4m
ExpressionSet9m
SummarizedExperiment7m
GEOquery6m
biomaRt13m
R S4 Classes16m
R S4 Methods10m
1개 연습문제
Quiz 320m
완료하는 데 2시간 필요
Week Four
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
완료하는 데 2시간 필요
7개 동영상 (총 81분), 1 개의 읽기 자료, 1 개의 테스트
7개의 동영상
Short Read4m
Rsamtools12m
oligo14m
limma16m
minfi11m
Count-based RNA-seq analysis15m
1개의 읽기 자료
Post Course Survey10m
1개 연습문제
Quiz 420m
검토
BIOCONDUCTOR FOR GENOMIC DATA SCIENCE의 최상위 리뷰
JK 제공2016년 8월 30일
I think it is a good class overall but the pace is fast and the resources that can help you is lacking. This will be good for someone who already kind of understands bioconductor.
GK 제공2019년 8월 27일
Before you can run, you must learn to walk. Kasper's well paced tutorials will give you confidence using the tools you need for genomic study.
MA 제공2016년 3월 11일
Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.
AB 제공2018년 4월 11일
Amazing course, motivated me to use bio conductor for descriptive seq studies of DNA.
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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