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Anglais
Sous-titres : Anglais

Résultats de carrière des étudiants

33%

ont commencé une nouvelle carrière après avoir terminé ce cours

27%

ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
Approx. 19 heures pour terminer
Anglais
Sous-titres : Anglais

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Programme du cours : ce que vous apprendrez dans ce cours

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Semaine
1

Semaine 1

3 heures pour terminer

Protein Motifs

3 heures pour terminer
4 vidéos (Total 35 min), 4 lectures, 1 quiz
4 vidéos
Lecture22 min
Lab Discussion9 min
Summary1 min
4 lectures
Acknowledgements10 min
Course Logistics10 min
Lecture Materials10 min
Lab 1 -- Protein Domain, Motif and Profile Analysis1h 30min
1 exercice pour s'entraîner
Lab 1 Quiz30 min
Semaine
2

Semaine 2

3 heures pour terminer

Protein-Protein Interactions

3 heures pour terminer
4 vidéos (Total 37 min), 2 lectures, 1 quiz
4 vidéos
Lecture23 min
Lab Discussion11 min
Summary1 min
2 lectures
Lecture Materials10 min
Lab 2 -- Protein-Protein Interactions1h 30min
1 exercice pour s'entraîner
Lab 2 Quiz30 min
Semaine
3

Semaine 3

3 heures pour terminer

Protein Structure

3 heures pour terminer
4 vidéos (Total 33 min), 2 lectures, 1 quiz
4 vidéos
Lecture13 min
Lab Discussion16 min
Summary1 min
2 lectures
Lecture Materials10 min
Lab 3 -- Structural Bioinformatics1h 30min
1 exercice pour s'entraîner
Lab 3 Quiz30 min
Semaine
4

Semaine 4

1 heure pour terminer

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

1 heure pour terminer
1 exercice pour s'entraîner
Quiz: Protein Motifs, Protein-Protein Interactions, and Protein Structure30 min

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À propos du Spécialisation Plant Bioinformatic Methods

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

Foire Aux Questions

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