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次における4の2コース
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初級レベル
約19時間で修了
英語
字幕:英語

受講生の就業成果

33%

コース終了後に新しいキャリアをスタートした

27%

コースが具体的なキャリアアップにつながった
共有できる証明書
修了時に証明書を取得
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4の2コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
約19時間で修了
英語
字幕:英語

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トロント大学(University of Toronto) ロゴ

トロント大学(University of Toronto)

シラバス - 本コースの学習内容

コンテンツの評価Thumbs Up98%(1,498 件の評価)Info
1

1

3時間で修了

Protein Motifs

3時間で修了
4件のビデオ (合計35分), 4 readings, 1 quiz
4件のビデオ
Lecture22 分
Lab Discussion9 分
Summary1 分
4件の学習用教材
Acknowledgements10 分
Course Logistics10 分
Lecture Materials10 分
Lab 1 -- Protein Domain, Motif and Profile Analysis1 時間 30 分
1の練習問題
Lab 1 Quiz30 分
2

2

3時間で修了

Protein-Protein Interactions

3時間で修了
4件のビデオ (合計37分), 2 readings, 1 quiz
4件のビデオ
Lecture23 分
Lab Discussion11 分
Summary1 分
2件の学習用教材
Lecture Materials10 分
Lab 2 -- Protein-Protein Interactions1 時間 30 分
1の練習問題
Lab 2 Quiz30 分
3

3

3時間で修了

Protein Structure

3時間で修了
4件のビデオ (合計33分), 2 readings, 1 quiz
4件のビデオ
Lecture13 分
Lab Discussion16 分
Summary1 分
2件の学習用教材
Lecture Materials10 分
Lab 3 -- Structural Bioinformatics1 時間 30 分
1の練習問題
Lab 3 Quiz30 分
4

4

1時間で修了

Review: Protein Motifs, Protein-Protein Interactions, and Protein Structure

1時間で修了
1の練習問題
Quiz: Protein Motifs, Protein-Protein Interactions, and Protein Structure30 分

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BIOINFORMATIC METHODS II からの人気レビュー

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Plant Bioinformatic Methods専門講座について

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet....
Plant Bioinformatic Methods

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