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Easymap: A User-Friendly Software Package for Rapid Mapping-by-Sequencing of Point Mutations and Large Insertions
Samuel Daniel Lup1, David Wilson-Sánchez1, Sergio Andreu-Sánchez1
1Instituto de Bioingeniería, Universidad Miguel Hernández de Elche, Elche, Spain.
Frontiers in Plant Science
|May 27, 2021
Summary
Easymap is a new open-source program simplifying genetic mutation mapping using next-generation sequencing (NGS) data. It makes identifying causal mutations accessible to researchers without extensive bioinformatics expertise.
Area of Science:
- Genetics
- Bioinformatics
- Genomics
Background:
- Mapping-by-sequencing integrates next-generation sequencing (NGS) with linkage analysis for rapid mutation identification.
- Existing NGS data analysis tools often require advanced bioinformatic skills, complex software modifications, or commercial licenses.
Purpose of the Study:
- To develop an accessible, open-source program simplifying the process of identifying causal mutations from NGS data.
- To provide a user-friendly tool for researchers with varying levels of bioinformatics expertise.
Main Methods:
- Development of Easymap, an open-source program with a graphical user interface.
- Implementation of workflows for bulked segregant analysis (point mutations) and tagged-sequence mapping (large insertions).
- Validation of mapping analyses using experimental and simulated datasets across diverse model species.
Main Results:
- Easymap successfully simplifies NGS data analysis from raw reads to candidate mutations.
- The program supports various mapping strategies, including DNA-seq, RNA-seq, transposons, and T-DNAs.
- Easymap provides detailed reports with images and data for result assessment, validated across species.
Conclusions:
- Easymap democratizes mutation mapping by providing an intuitive and powerful tool for genetic research.
- The open-source nature and user-friendly design of Easymap facilitate broader adoption in the scientific community.
- Easymap streamlines the identification of causal mutations, accelerating genetic discovery in model organisms.

