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Published on: August 20, 2021
MGERT: a pipeline to retrieve coding sequences of mobile genetic elements from genome assemblies
Andrei S Guliaev1, Seraphima K Semyenova1
1Laboratory of Genome Organization, Institute of Gene Biology of the Russian Academy of Sciences, Vavilov Str., 34/5, Moscow, 119334 Russia.
A new pipeline, MGERT, automates the retrieval of protein-coding and flanking sequences for mobile genetic elements (MGEs) from eukaryotic genomes. This tool aids researchers in analyzing transposons and retrotransposons without extensive scripting.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Evolution
Background:
- Eukaryotic genomes contain numerous mobile genetic elements (MGEs), including transposons and retrotransposons, which significantly influence genome plasticity and evolution.
- Existing computational tools for MGE annotation often require de novo or homology-based approaches on genomic assemblies or raw reads.
- A gap exists in pipelines that provide readily usable coding and flanking sequences of MGEs from genome assemblies for downstream biological analysis.
Purpose of the Study:
- To develop an automated pipeline for retrieving mobile genetic elements (MGEs) and their associated sequences from genomic assemblies.
- To facilitate downstream biological analysis of MGEs by providing standardized coding and flanking sequences.
Main Methods:
- Development of a novel computational pipeline named MGERT (Mobile Genetic Elements Retrieving Tool).
- Automation of all necessary steps for extracting MGE protein-coding and flanking sequences from genomic assemblies.
- The pipeline functions effectively even when prior information on the MGE content of a genome is unavailable.
Main Results:
- Successful development of the MGERT pipeline, automating the retrieval of MGE sequences.
- MGERT enables the extraction of protein-coding sequences of MGEs from genomic assemblies.
- The tool provides flanking sequences essential for further analysis.
Conclusions:
- MGERT empowers researchers to efficiently identify MGEs and their coding/flanking sequences within any genome of interest.
- This pipeline significantly reduces the need for manual scripting and complex pipelining, allowing researchers to concentrate on the biological interpretation of MGEs.
- MGERT enhances the accessibility of MGE analysis in genomics research.
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