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Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch

Kompetenzen, die Sie erwerben

BioinformaticsSamtoolsUnixCommand-Line Interface

Karriereergebnisse der Lernenden

50%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

43%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

20%

erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

Johns Hopkins University-Logo

Johns Hopkins University

Lehrplan - Was Sie in diesem Kurs lernen werden

InhaltsbewertungThumbs Up87%(1,617 Bewertungen)Info
Woche
1

Woche 1

3 Stunden zum Abschließen

Basic Unix Commands

3 Stunden zum Abschließen
12 Videos (Gesamt 105 min), 5 Lektüren, 2 Quiz
12 Videos
Basic Unix Commands 2: Files, Directories, Paths7m
Basic Unix Commands 3: File Naming4m
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 Lektüren
Welcome Message10m
Syllabus10m
VMBox Download & Instructions10m
Pre-Course Survey10m
Module 1 Exam Instructions **IMPORTANT**10m
2 praktische Übungen
Module 1 Quiz20m
Module 1 Exam34m
Woche
2

Woche 2

3 Stunden zum Abschließen

Week Two

3 Stunden zum Abschließen
11 Videos (Gesamt 127 min), 1 Lektüre, 2 Quiz
11 Videos
Sequences and Genomic Features 2: Sequence Representation and Generation11m
Sequences and Genomic Features 3: Annotation14m
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 Lektüre
Module 2 Exam Instructions **IMPORTANT**10m
2 praktische Übungen
Module 2 Quiz20m
Module 2 Exam40m
Woche
3

Woche 3

2 Stunden zum Abschließen

Week Three

2 Stunden zum Abschließen
8 Videos (Gesamt 55 min), 1 Lektüre, 2 Quiz
8 Videos
Alignment & Sequence Variation 2: Alignment & Variant Detection Tools5m
Alignment & Sequence Variation 3: VCF11m
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 Lektüre
Module 3 Exam Instructions **IMPORTANT**10m
2 praktische Übungen
Module 3 Quiz20m
Module 3 Exam48m
Woche
4

Woche 4

3 Stunden zum Abschließen

Week Four

3 Stunden zum Abschließen
8 Videos (Gesamt 75 min), 2 Lektüren, 2 Quiz
8 Videos
Tools for Transcriptomics 2: RNA-seq7m
Tools for Transcriptomics 3.1: Tophat I9m
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 Lektüren
Module 4 Exam Instructions **IMPORTANT**10m
Post-Course Survey10m
2 praktische Übungen
Module 4 Quiz20m
Module 4 Exam1h 10m

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Über den Spezialisierung 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

Häufig gestellte Fragen

  • 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.

  • 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.

  • 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.

  • 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.

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