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.
このコースはGenomic Data Science の専門講座に属します。
Bioconductor for Genomic Data Science
提供：
このコースについて
18,120 最近の表示
習得するスキル
BioinformaticsBioconductorGenomicsR Programming
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における8の6コース
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約17時間で修了
英語
字幕：英語
シラバス - 本コースの学習内容
3時間で修了
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.
3時間で修了
16件のビデオ （合計126分）, 3 readings, 1 quiz
16件のビデオ
Installing R on A Mac 2 分
Installing R Studio on a Mac 1 分
What is Bioconductor7 分
Installing Bioconductor3 分
The Bioconductor Website9 分
Useful Online Resources5 分
R Base Types18 分
GRanges - Overview4 分
IRanges - Basic Usage12 分
GenomicRanges - GRanges8 分
GenomicRanges - Basic GRanges Usage8 分
GenomicRanges - seqinfo6 分
AnnotationHub8 分
Usecase: AnnotationHub and GRanges, part 112 分
Usecase: AnnotationHub and GRanges, part 213 分
3件の学習用教材
Welcome10 分
Syllabus10 分
Pre Course Survey10 分
1の練習問題
Quiz 120 分
2時間で修了
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.
2時間で修了
8件のビデオ （合計81分）
8件のビデオ
Biostrings7 分
BSgenome6 分
Biostrings - Matching6 分
BSgenome - Views9 分
GenomicRanges - Rle12 分
GenomicRanges - Lists6 分
GenomicFeatures18 分
rtracklayer - Data Import14 分
1の練習問題
Quiz 220 分
2時間で修了
Week Three
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
2時間で修了
9件のビデオ （合計79分）
9件のビデオ
Annotation Overview4 分
ExpressionSet Overview4 分
ExpressionSet9 分
SummarizedExperiment7 分
GEOquery6 分
biomaRt13 分
R S4 Classes16 分
R S4 Methods10 分
1の練習問題
Quiz 320 分
2時間で修了
Week Four
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
2時間で修了
7件のビデオ （合計81分）, 1 reading, 1 quiz
7件のビデオ
Short Read4 分
Rsamtools12 分
oligo14 分
limma16 分
minfi11 分
Count-based RNA-seq analysis15 分
1件の学習用教材
Post Course Survey10 分
1の練習問題
Quiz 420 分
レビュー
3.9
BIOCONDUCTOR FOR GENOMIC DATA SCIENCE からの人気レビュー
JKによりAug 30, 2016
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によりAug 27, 2019
Before you can run, you must learn to walk.\n\nKasper's well paced tutorials will give you confidence using the tools you need for genomic study.
MAによりMar 11, 2016
Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.
ABによりApr 11, 2018
Amazing course, motivated me to use bio conductor for descriptive seq studies of DNA.
CZによりFeb 9, 2016
I learned a lot from this class and the instructor is good.
SSによりSep 3, 2016
A nice course to introduce Bioconductor to students
提供：
?????????????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.
Genomic Data Science専門講座について
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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