이 강좌에 대하여

최근 조회 23,699
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 로고

존스홉킨스대학교

강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 3시간 필요

Week One

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
2

2

완료하는 데 2시간 필요

Week Two

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
3

3

완료하는 데 2시간 필요

Week Three

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
4

4

완료하는 데 2시간 필요

Week Four

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

모든 리뷰 보기

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....
Genomic Data Science

자주 묻는 질문

  • 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.

  • 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.

  • 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.

  • 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.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.