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.
от партнера
Специализация Наука о геномных данныхУниверситет Джонса ХопкинсаОб этом курсе
Недавно просмотрено: 35,543
Карьерные результаты учащихся
50%
начал новую карьеру, пройдя эти курсы
43%
получил значимые преимущества в карьере благодаря этому курсу
20%
стал больше зарабатывать или получил повышение
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Курс 5 из 8 в программе
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Прибл. 12 часов на выполнение
Английский
Субтитры: Английский
Приобретаемые навыки
BioinformaticsSamtoolsUnixCommand-Line Interface
Карьерные результаты учащихся
50%
начал новую карьеру, пройдя эти курсы
43%
получил значимые преимущества в карьере благодаря этому курсу
20%
стал больше зарабатывать или получил повышение
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Курс 5 из 8 в программе
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Прибл. 12 часов на выполнение
Английский
Субтитры: Английский
от партнера
Университет Джонса Хопкинса
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.
Программа курса: что вы изучите
3 ч. на завершение
Basic Unix Commands
In this module, you will be introduced to command Line Tools for Genomic Data Science
3 ч. на завершение
12 видео ((всего 105 мин.)), 5 материалов для самостоятельного изучения, 2 тестов
12 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
5 материалов для самостоятельного изучения
Welcome Message10мин
Syllabus10мин
VMBox Download & Instructions10мин
Pre-Course Survey10мин
Module 1 Exam Instructions **IMPORTANT**10мин
2 практических упражнения
Module 1 Quiz20мин
Module 1 Exam34мин
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.
3 ч. на завершение
11 видео ((всего 127 мин.)), 1 материал для самостоятельного изучения, 2 тестов
11 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
1 материал для самостоятельного изучения
Module 2 Exam Instructions **IMPORTANT**10мин
2 практических упражнения
Module 2 Quiz20мин
Module 2 Exam40мин
2 ч. на завершение
Week Three
In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations.
2 ч. на завершение
8 видео ((всего 55 мин.)), 1 материал для самостоятельного изучения, 2 тестов
8 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
1 материал для самостоятельного изучения
Module 3 Exam Instructions **IMPORTANT**10мин
2 практических упражнения
Module 3 Quiz20мин
Module 3 Exam48мин
3 ч. на завершение
Week Four
In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations.
3 ч. на завершение
8 видео ((всего 75 мин.)), 2 материалов для самостоятельного изучения, 2 тестов
8 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
2 материала для самостоятельного изучения
Module 4 Exam Instructions **IMPORTANT**10мин
Post-Course Survey10мин
2 практических упражнения
Module 4 Quiz20мин
Module 4 Exam1ч 10мин
Рецензии
Лучшие отзывы о курсе КОНСОЛЬНЫЕ УТИЛИТЫ ДЛЯ НАУКИ О ГЕНОМНЫХ ДАННЫХ
от партнера SC17 окт. 2016 г.
Th lecturer could be a little more engaging and the materials used during classes, if made available would help following it better, by replicating the examples being shown.
от партнера LS23 апр. 2020 г.
Some explanations are4 not completely clear. A good summary of what every tools does and of which rools should be used to tackle which situation would really beneficial
от партнера AD26 авг. 2018 г.
Very informative course. Only downside is that the example datasets/scripts are not provided (which I tend to find to be useful for learning informatics).
от партнера JJ22 июня 2018 г.
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.
Специализация Наука о геномных данных: общие сведения
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.
Часто задаваемые вопросы
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Остались вопросы? Посетите Центр поддержки учащихся.
© Coursera Inc., 2020 Все права защищены.
