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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Aln2tbl: building a mitochondrial features table from a assembly alignment in fasta format.

Joan Pons1, Juan José Ensenyat2, Pere Bover3

  • 1Departament de Biodiversitat Animal i Microbiana, Institut Mediterrani d'Estudis Avançats (IMEDEA, CSIC-UIB), Esporles, Spain.

Mitochondrial DNA. Part B, Resources
|August 27, 2021
PubMed
Summary

This study introduces aln2tbl.py, a Python script automating mitochondrial genome annotation. It recreates feature tables from manual alignments, streamlining data submission for evolutionary and phylogenetic research.

Keywords:
GenBank submissionMitochondrial genomePythonfeature tablegene annotation

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Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Mitochondrial genome analysis is crucial for understanding phylogeny and evolution.
  • Automatic annotation of mitochondrial genomes generates preliminary feature tables.
  • Manual curation in alignment editors is necessary but invalidates automatic tables.

Purpose of the Study:

  • To develop a script that recreates accurate feature tables from manually refined mitochondrial genome alignments.
  • To automate the process of preparing mitochondrial genome data for submission to databases.

Main Methods:

  • Development of a Python script named aln2tbl.py.
  • Input: Manually refined alignment of genes mapped on the mitochondrial genome (FASTA format).
  • Output: A feature table compatible with data bank submission (e.g., for creating SQN files).

Main Results:

  • The aln2tbl.py script successfully recreates feature tables from curated alignments.
  • The generated tables include specific notes and annotations for mitochondrial genomes.
  • The script facilitates the automation of the entire annotation and submission pipeline.

Conclusions:

  • The aln2tbl.py script addresses a gap in bioinformatics tools for mitochondrial genome analysis.
  • It enables automated data submission to banks, even after manual curation steps.
  • This tool enhances the efficiency of phylogenetic and evolutionary studies using mitochondrial genomes.