Coursera – Genomic Data Science Specialization 2024-2 – Download

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

  • Next-generation sequencing experiments

  • 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

Genomic Data Science Expertise

Requirements

  • Some background in statistics, computer science, and biology is helpful but not required

Pictures

Genomic Data Science Expertise

Sample clip

installation Guide

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Subtitles: English

Quality: 720p

Download links

Introduction to genomic technologies

Download – 454MB

Python for genomic data science

Download – 392 MB

Algorithms for DNA sequencing

Download – 943MB

Command-line tools for genomic data science

Part 1 – Download 2GB

Part 2 – Download 2GB

Download Part 3 – 2 GB

Download Part 4 – 91 MB

Bioconductors for genomic data science

Download – 808 MB

Statistics for Genomic Data Science

Download – 644MB

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file size

9.25 GB

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