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Transcriptome Data Analysis

Functional genomics investigations can make use of a variety of methods, ranging from high-throughput technologies such as next-generation sequencing and microarrays to RT-PCR. The Transcriptome Data Analysis online course covers all of the functional elements of transcriptomic data analysis. 

The technique chosen by the candidate will be determined by the size and scope of the experiment. When developing the experiment, candidates will consider the benefits and drawbacks of each technology, as well as if they are appropriate for the sort of planned experiment. The Transcriptome Data Analysis training provides both the theoretical and practical processes necessary for experiment preparation and hypothesis testing.

The 26 hours course is jointly provided by Edu Plus Now, in collaboration with the Indian Statistical Institute Pune. The Transcriptome Data Analysis syllabus includes various topics such as data extraction, gene network analysis, raw data, functional analysis, quality control management, python, R, statistics, data analysis, data visualization, etc.

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26 Hours
Skills Covered:
Knowledge of Python SQL knowledge Analytical skills Machine learning Tableau knowledge

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