Coursera - Genomic Data Science Specialization

[LeeAndro]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 31h 40m | Size: 7.4 GB

Next generation sequencing expents

Genomic technologies

DNA, RNA and epigenetic patterns

Genome analysis

Bioinformatics
Statistics
Data Science
Computational Biology
Biopython
Python Programming
Genomics
Bioinformatics Algorithms
Algorithms
Algorithms On Strings
Samtools
Unix

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With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets.​

Genomic Data Science is the field that applies statistics and data science to the genome.

This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing expents. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, and Bioconductor.

This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.

To audit Genomic Data Science courses for free, visithttps://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.

HomePage:

https://anonymz.com/https://www.coursera.org/specializations/genomic-data-science

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