Last updated: 2021-01-28

Checks: 2 0

Knit directory: Bio326/

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Repository version: 2102442

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File	Version	Author	Date	Message
html	2102442	mariesaitou	2021-01-28	Build site.
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html	2e5f89a	mariesaitou	2021-01-28	Build site.
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This workflow is based on Galaxy Training materials aimed for the two-hour coueses in Bio326, NMBU 2021.

The workflow is based on the following materials but modified and updated for Galaxy.no 2021.

Quality Control

Mapping

Variant Analysis

0. Goal of this workflow

Objective: Compare the mitochondrial variants between mother and child (human) We will learn: A.How to conduct “cleaning” of the data, B.How to map the sequence read to refeerence genome, C. How to call genetic variants.

1. Galaxy introduction

1-2. Play around with Galaxy

screen

screen screen

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1-3. Review the workflow

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2. Quality Control

2-0. Introduction

During sequencing, the nucleotide bases in a DNA or RNA sample (library) are determined by the sequencer. For each fragment in the library, a short sequence (=read) is generated,.

Modern sequencing technologies can generate a massive number of sequence reads in a single experiment. However, each instrument will generate different types and amount of errors, such as incorrect nucleotides being called. These wrongly called bases are due to the technical limitations.

Therefore, it is necessary to understand, identify and exclude error-types that may impact the interpretation of downstream analysis. Sequence quality control is therefore an essential first step in your analysis. Catching errors early saves time later on.

Objective:

Conduct quality control and trimming of sequence data from two individuals, mother and child ##### We will learn: How to conduct quality control with FastQC, how to interpret FastQC output, how to conduct trimming with fastp.