0%

​

Share this page with:

Genome analysis workflow

Computational workflows allow for automation of multi-step analyses, which can include collection, preparation and analysis of data. If workflows are new to you, take a look at our ‘Workflows: Combining tools for data analysis’ tutorial to learn more.

The general steps involved in a sequence analysis workflow include: 

  1. Data preprocessing (quality control, trimming and filtering)
  2. Assembly 
  3. Gene annotation 
The workflow begins with DNA extraction, followed by sequencing to generate the data. Quality control is then performed on the sequencing data, reads are trimmed and filtered, and then assembled and annotated to generate the final genome assembly.
Figure 5: The steps involved in a sequence analysis workflow, including the initial steps of DNA extraction and sequencing which generate the data needed for the analysis.

Continue through this section to discover more about each step in the workflow.