Об этом курсе
4.2
217 ratings
66 reviews
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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Предполагаемая нагрузка: 7 hours/week

Прибл. 25 ч. на завершение
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English

Субтитры: English

Приобретаемые навыки

BioinformaticsSamtoolsUnixCommand-Line Interface
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Clock

Предполагаемая нагрузка: 7 hours/week

Прибл. 25 ч. на завершение
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English

Субтитры: English

Программа курса: что вы изучите

1

Раздел
Clock
3 ч. на завершение

Basic Unix Commands

In this module, you will be introduced to command Line Tools for Genomic Data Science...
Reading
12 видео (всего 105 мин.), 5 материалов для самостоятельного изучения, 2 тестов
Video12 видео
Basic Unix Commands 2: Files, Directories, Paths7мин
Basic Unix Commands 3: File Naming4мин
Basic Unix Commands 4: Content Creation9мин
Basic Unix Commands 5: Accessing Content I6мин
Basic Unix Commands 6: Accessing Content II4мин
Basic Unix Commands 7: Redirecting Content6мин
Basic Unix Commands 8: Querying Content15мин
Basic Unix Commands 9: Comparing Content11мин
Basic Unix Commands 10: Archiving Content13мин
Basic Unix Commands 11: Practical Exercises I13мин
Basic Unix Commands 12: Practical Exercises II9мин
Reading5 материала для самостоятельного изучения
Welcome Message10мин
Syllabus10мин
VMBox Download & Instructions10мин
Pre-Course Survey10мин
Module 1 Exam Instructions **IMPORTANT**10мин
Quiz2 практического упражнения
Module 1 Quiz20мин
Module 1 Exam34мин

2

Раздел
Clock
3 ч. на завершение

Week Two

In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations. ...
Reading
11 видео (всего 127 мин.), 1 материал для самостоятельного изучения, 2 тестов
Video11 видео
Sequences and Genomic Features 2: Sequence Representation and Generation11мин
Sequences and Genomic Features 3: Annotation14мин
Sequences and Genomic Features 4.1: Alignment I13мин
Sequences and Genomic Features 4.2: Alignment II9мин
Sequences and Genomic Features 5: Recreating Sequences & Features12мин
Sequences and Genomic Features 6: Genomic Feature Retrieval5мин
Sequences and Genomic Features 7: SAMtools I11мин
Sequences and Genomic Features 8: SAMtools II9мин
Sequences and Genomic Features 9: BEDtools I15мин
Sequences and Genomic Features 10: BEDtools II15мин
Reading1 материал для самостоятельного изучения
Module 2 Exam Instructions **IMPORTANT**10мин
Quiz2 практического упражнения
Module 2 Quiz20мин
Module 2 Exam40мин

3

Раздел
Clock
2 ч. на завершение

Week Three

In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations....
Reading
8 видео (всего 55 мин.), 1 материал для самостоятельного изучения, 2 тестов
Video8 видео
Alignment & Sequence Variation 2: Alignment & Variant Detection Tools5мин
Alignment & Sequence Variation 3: VCF11мин
Alignment & Sequence Variation 4: Bowtie9мин
Alignment & Sequence Variation 5: BWA 4мин
Alignment & Sequence Variation 6: SAMtools (mpileup)6мин
Alignment & Sequence Variation 7: BCFtools8мин
Alignment & Sequence Variation 8: Variant Calling5мин
Reading1 материал для самостоятельного изучения
Module 3 Exam Instructions **IMPORTANT**10мин
Quiz2 практического упражнения
Module 3 Quiz20мин
Module 3 Exam48мин

4

Раздел
Clock
3 ч. на завершение

Week Four

In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations....
Reading
8 видео (всего 75 мин.), 2 материалов для самостоятельного изучения, 2 тестов
Video8 видео
Tools for Transcriptomics 2: RNA-seq7мин
Tools for Transcriptomics 3.1: Tophat I9мин
Tools for Transcriptomics 3.2: Tophat II 8мин
Tools for Transcriptomics 4: Cufflinks10мин
Tools for Transcriptomics 5: Cuffdiff16мин
Tools for Transcriptomics 6.1: Integrated Genomics Viewer I8мин
Tools for Transcriptomics 6.2: Integrated Genomics Viewer II 6мин
Reading2 материала для самостоятельного изучения
Module 4 Exam Instructions **IMPORTANT**10мин
Post-Course Survey10мин
Quiz2 практического упражнения
Module 4 Quiz20мин
Module 4 Exam10мин
4.2
Direction Signs

33%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: 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.

автор: 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.

Преподаватель

Liliana Florea, PhD

Assistant Professor
McKusick-Nathans Institute of Genetic Medicine

О 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....

О специализации ''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

Часто задаваемые вопросы

  • 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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