Description
Genomic Data Science Expertise, with Genomics Sparking a revolution in medical discoveries, it becomes imperative to be able to better understand the genome and to be able to leverage data and information from genomic datasets. Genomic data science is the field that applies statistics and data science to the genome. it Specialization Covers concepts and tools for understanding, analyzing, and interpreting data from next-generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, as well as various software implementation tools such as Python, R, and Bioconductor. it The specialization is designed to serve as a standalone introduction to genomic data science or as an ideal complement to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields who want to gain familiarity with data science and statistical tools to better interact with data in their everyday work.
What you will learn
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Next-generation sequencing experiments
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DNA, RNA and epigenetic patterns
Uniqueness of the Genomic Data Science Expertise
- Publisher: Coursera
- Teacher: Mihaela Pertea, PhD
- language English
- Level: Intermediate
- No. of Courses: 6
- Duration: 1 month 10 hours per week
Content of the Genomic Data Science Specialization
Requirements
- Some background in statistics, computer science, and biology is helpful but not required
Pictures
Sample clip
installation Guide
Extract files and watch with your favorite player
Subtitles: English
Quality: 720p
Download links
Introduction to genomic technologies
Python for genomic data science
Algorithms for DNA sequencing
Command-line tools for genomic data science
Bioconductors for genomic data science
Statistics for Genomic Data Science
Password File(s): free download software
file size
9.25 GB