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Learn advanced techniques to analyze genomics data

Programa XSeries en
Genomics Data Analysis
HarvardX

Lo que aprenderás

  • Advanced techniques to analyze genomic data
  • How to structure, annotate, normalize, and interpret genome scale assays
  • How to bridge diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing
  • How to analyze data from several experimental protocols, using open source software, including R and Bioconductor

The Genomics Data Analysis XSeries is an advanced series that will enable students to analyze and interpret data generated by modern genomics technology.

Using open source software, including R and Bioconductor, you will acquire skills to analyze and interpret genomic data.

This XSeries is perfect for those who seek advanced training in high-throughput technology data. Problem sets will require coding in the R language to ensure learners fully grasp and master key concepts. The final course investigates data analysis for several experimental protocols in genomics.

Capacitación en mano de expertos
3 cursos de nivel universitario
de 4 a 6 meses
0 horas de trabajo
$132.30
$147USD
Para obtener la experiencia completa del programa

Cursos en este programa

  1. Genomics Data Analysis XSeries de HarvardX

  2. Not currently available

    The structure, annotation, normalization, and interpretation of genome scale assays.

  3. Not currently available

    Learn how to bridge from diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing.

  4. Not currently available

    Explore data analysis of several experimental protocols, using open source software, including R and Bioconductor.

  5. This program was supported in part by NIH grant R25GM114818.

    HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

    HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

    Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact [email protected] and/or report your experience through the edX contact form.

Conoce a tus instructores

de Harvard University (HarvardX)
Rafael Irizarry
Professor of Biostatistics
Harvard University
Michael Love
Assistant Professor, Departments of Biostatistics and Genetics
UNC Gillings School of Global Public Health
Vincent Carey
Professor, Medicine
Harvard Medical School

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Flexibles

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