Virtual program of:
How to unite diverse annotation structures and genomic assays with data analysis and research presentations through innovative approaches to informatics Advanced techniques for analyzing genomic data.
How to structure, annotate, normalize, and interpret genome-scale assays.
How to analyze data from various experimental protocols, using open source software, including R and Bioconductor.
3 months. 2 - 4 hours per week suggested.
3 virtual courses in soft skills
Advances in genomics have caused fundamental changes in medicine and research.
Genomic data sets are driving the next generation of discovery and treatment, and this series will enable you to analyze and interpret the data generated by modern genomic technology.
By using open source software, including R and Bioconductor, you will gain skills in analyzing and interpreting genomic data.
These courses are perfect for those seeking advanced high-performance technology data training.
The problem sets will require coding in the R language to ensure mastery of key concepts.
In the final course, you will investigate data analysis for various experimental protocols in genomics.
Enroll now to take advantage of the myriad of opportunities in modern genomics.
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