Acerca de este Curso
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Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

BioinformaticsSamtoolsUnixCommand-Line Interface

100 % en línea

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Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 26 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

Basic Unix Commands

12 videos (Total 105 minutos), 5 readings, 2 quizzes
12 videos
Basic Unix Commands 4: Content Creation9m
Basic Unix Commands 5: Accessing Content I6m
Basic Unix Commands 6: Accessing Content II4m
Basic Unix Commands 7: Redirecting Content6m
Basic Unix Commands 8: Querying Content15m
Basic Unix Commands 9: Comparing Content11m
Basic Unix Commands 10: Archiving Content13m
Basic Unix Commands 11: Practical Exercises I13m
Basic Unix Commands 12: Practical Exercises II9m
5 lecturas
Welcome Message10m
Syllabus10m
VMBox Download & Instructions10m
Pre-Course Survey10m
Module 1 Exam Instructions **IMPORTANT**10m
2 ejercicios de práctica
Module 1 Quiz20m
Module 1 Exam34m
Semana
2
3 horas para completar

Week Two

11 videos (Total 127 minutos), 1 reading, 2 quizzes
11 videos
Sequences and Genomic Features 4.1: Alignment I13m
Sequences and Genomic Features 4.2: Alignment II9m
Sequences and Genomic Features 5: Recreating Sequences & Features12m
Sequences and Genomic Features 6: Genomic Feature Retrieval5m
Sequences and Genomic Features 7: SAMtools I11m
Sequences and Genomic Features 8: SAMtools II9m
Sequences and Genomic Features 9: BEDtools I15m
Sequences and Genomic Features 10: BEDtools II15m
1 lecturas
Module 2 Exam Instructions **IMPORTANT**10m
2 ejercicios de práctica
Module 2 Quiz20m
Module 2 Exam40m
Semana
3
2 horas para completar

Week Three

8 videos (Total 55 minutos), 1 reading, 2 quizzes
8 videos
Alignment & Sequence Variation 4: Bowtie9m
Alignment & Sequence Variation 5: BWA 4m
Alignment & Sequence Variation 6: SAMtools (mpileup)6m
Alignment & Sequence Variation 7: BCFtools8m
Alignment & Sequence Variation 8: Variant Calling5m
1 lecturas
Module 3 Exam Instructions **IMPORTANT**10m
2 ejercicios de práctica
Module 3 Quiz20m
Module 3 Exam48m
Semana
4
3 horas para completar

Week Four

8 videos (Total 75 minutos), 2 readings, 2 quizzes
8 videos
Tools for Transcriptomics 3.2: Tophat II 8m
Tools for Transcriptomics 4: Cufflinks10m
Tools for Transcriptomics 5: Cuffdiff16m
Tools for Transcriptomics 6.1: Integrated Genomics Viewer I8m
Tools for Transcriptomics 6.2: Integrated Genomics Viewer II 6m
2 lecturas
Module 4 Exam Instructions **IMPORTANT**10m
Post-Course Survey10m
2 ejercicios de práctica
Module 4 Quiz20m
Module 4 Exam1h 10m
4.2
83 revisionesChevron Right

50%

comenzó una nueva carrera después de completar estos cursos

43%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

20%

consiguió un aumento de sueldo o ascenso

Principales revisiones sobre Command Line Tools for Genomic Data Science

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.

Instructores

Avatar

Liliana Florea, PhD

Assistant Professor
McKusick-Nathans Institute of Genetic Medicine

Acerca de Universidad Johns Hopkins

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....

Acerca del programa especializado Genomic Data Science

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....
Genomic Data Science

Preguntas Frecuentes

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