Genetics and Next Generation Sequencing for Bioinformatics

For software professionals entering Bioinformatics: DNA sequencing data analysis, NGS, & Biology prerequisites

What you'll learn:

• Foundation in DNA, RNA, and Genetics
• Use cloud-based platform Galaxy to analyze large sequencing datasets
• Recent advances in DNA sequencing technology
• Assess quality of raw data
• Applications in Personalized Cancer Therapy and Disease Research
• Use FastQC and Trimmomatic to improve data quality

Do you want to enter the field of Bioinformatics, but don't know enough about DNA, RNA, and Genetics?

Are you curious about the recent advances in DNA sequencing technology, and how it can be applied to Personalized Cancer Therapy and Disease Research?

Do you want to use Bioinformatics tools to analyze data generated by Next Generation Sequencing?

By the end of this course:

• You will have a strong foundation in DNA, RNA, and Genetics

• You will have a thorough understanding of Next Generation DNA Sequencing Analysis

• You will use a cloud-based platform called Galaxy for the analysis of large datasets

• You will assess the quality of raw data

• You will use FastQC and Trimmomatic to improve data quality

This course is a starting point in NGS. It covers Biology prerequisites and quality control. Future courses will cover data analysis in more detail.

Project:

This course includes a step-by-step guided project.

This project will assess the quality of raw data from an Illumina sequencer.

You will then use FastQC and Trimmomatic to improve the quality of this data.

Prerequisites:

• Biology and Chemistry at high school 10th grade level

• Elementary Statistics such as interpreting charts, histograms, and box-and-whisker plots

• You must enjoy Biology

This is an introductory course ideal for those with no prior experience in Next Generation Sequencing Analysis.

Enroll today, and launch your career in Bioinformatics.