Informações sobre o curso
4.2
219 classificações
67 avaliações
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University....
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Comece imediatamente e aprenda em seu próprio cronograma.
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Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
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Approx. 25 hours to complete

Sugerido: 7 hours/week...
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English

Legendas: English...

Habilidades que você terá

BioinformaticsSamtoolsUnixCommand-Line Interface
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Approx. 25 hours to complete

Sugerido: 7 hours/week...
Comment Dots

English

Legendas: English...

Programa - O que você aprenderá com este curso

Week
1
Clock
3 horas para concluir

Basic Unix Commands

In this module, you will be introduced to command Line Tools for Genomic Data Science...
Reading
12 vídeos (Total de 105 min), 5 leituras, 2 testes
Video12 videos
Basic Unix Commands 2: Files, Directories, Paths7min
Basic Unix Commands 3: File Naming4min
Basic Unix Commands 4: Content Creation9min
Basic Unix Commands 5: Accessing Content I6min
Basic Unix Commands 6: Accessing Content II4min
Basic Unix Commands 7: Redirecting Content6min
Basic Unix Commands 8: Querying Content15min
Basic Unix Commands 9: Comparing Content11min
Basic Unix Commands 10: Archiving Content13min
Basic Unix Commands 11: Practical Exercises I13min
Basic Unix Commands 12: Practical Exercises II9min
Reading5 leituras
Welcome Message10min
Syllabus10min
VMBox Download & Instructions10min
Pre-Course Survey10min
Module 1 Exam Instructions **IMPORTANT**10min
Quiz2 exercícios práticos
Module 1 Quiz20min
Module 1 Exam34min
Week
2
Clock
3 horas para concluir

Week Two

In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations. ...
Reading
11 vídeos (Total de 127 min), 1 leitura, 2 testes
Video11 videos
Sequences and Genomic Features 2: Sequence Representation and Generation11min
Sequences and Genomic Features 3: Annotation14min
Sequences and Genomic Features 4.1: Alignment I13min
Sequences and Genomic Features 4.2: Alignment II9min
Sequences and Genomic Features 5: Recreating Sequences & Features12min
Sequences and Genomic Features 6: Genomic Feature Retrieval5min
Sequences and Genomic Features 7: SAMtools I11min
Sequences and Genomic Features 8: SAMtools II9min
Sequences and Genomic Features 9: BEDtools I15min
Sequences and Genomic Features 10: BEDtools II15min
Reading1 leituras
Module 2 Exam Instructions **IMPORTANT**10min
Quiz2 exercícios práticos
Module 2 Quiz20min
Module 2 Exam40min
Week
3
Clock
2 horas para concluir

Week Three

In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations....
Reading
8 vídeos (Total de 55 min), 1 leitura, 2 testes
Video8 videos
Alignment & Sequence Variation 2: Alignment & Variant Detection Tools5min
Alignment & Sequence Variation 3: VCF11min
Alignment & Sequence Variation 4: Bowtie9min
Alignment & Sequence Variation 5: BWA 4min
Alignment & Sequence Variation 6: SAMtools (mpileup)6min
Alignment & Sequence Variation 7: BCFtools8min
Alignment & Sequence Variation 8: Variant Calling5min
Reading1 leituras
Module 3 Exam Instructions **IMPORTANT**10min
Quiz2 exercícios práticos
Module 3 Quiz20min
Module 3 Exam48min
Week
4
Clock
3 horas para concluir

Week Four

In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations....
Reading
8 vídeos (Total de 75 min), 2 leituras, 2 testes
Video8 videos
Tools for Transcriptomics 2: RNA-seq7min
Tools for Transcriptomics 3.1: Tophat I9min
Tools for Transcriptomics 3.2: Tophat II 8min
Tools for Transcriptomics 4: Cufflinks10min
Tools for Transcriptomics 5: Cuffdiff16min
Tools for Transcriptomics 6.1: Integrated Genomics Viewer I8min
Tools for Transcriptomics 6.2: Integrated Genomics Viewer II 6min
Reading2 leituras
Module 4 Exam Instructions **IMPORTANT**10min
Post-Course Survey10min
Quiz2 exercícios práticos
Module 4 Quiz20min
Module 4 Exam10min
4.2
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Briefcase

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Melhores avaliações

por JJJun 23rd 2018

Thank you very much Dr./Professor, Liliana Florea. I've learned a lot. It's a very good opportunity to improve my knowledge. This means a lot to me.

por GVMar 14th 2016

Very informative course. Because I am new to this, it was at times confusing. But overall, great teaching and great experience. Thank you.

Instrutores

Liliana Florea, PhD

Assistant Professor
McKusick-Nathans Institute of Genetic Medicine

Sobre 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....

Sobre o Programa de cursos integrados Genomic Data Science

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, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics. To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit....
Genomic Data Science

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

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