Algorithms for DNA Sequencing

Description

Algorithms for DNA Sequencing is course 4 of 8 in the Genomic Data Science Specialization.
This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics.
Genomic Data Science
View Specialization ยป



Have you tried this resource? Help someone out by sharing your thoughts!

Write a review

More Ways to Learn Systems Biology

Integrated Analysis in Systems Biology
Icahn School of Medicine at Mount Sinai
Integrated Analysis in Systems Biology
College | Free
Network Analysis in Systems Biology
Icahn School of Medicine at Mount Sinai
Network Analysis in Systems Biology
College | Free
Dynamical Modeling Methods for Systems Biology
Icahn School of Medicine at Mount Sinai
Dynamical Modeling Methods for Systems Biology
College | Free