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Revised eutherian gene collections.

Marko Premzl1,2

  • 1The Australian National University Alumni, 4 Kninski trg Sq., Zagreb, Croatia. Marko.Premzl@alumni.anu.edu.au.

BMC Genomic Data
|July 23, 2022
PubMed
Summary
This summary is machine-generated.

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Researchers developed a protocol for eutherian comparative genomics to improve gene data accuracy. This work aids in updating gene classifications and understanding evolutionary relationships across eutherian species.

Area of Science:

  • Genomics
  • Comparative Genomics
  • Bioinformatics

Background:

  • The field of eutherian comparative genomics aims to sequence all extant eutherian species genomes.
  • Future updates and revisions of eutherian gene datasets are anticipated.

Purpose of the Study:

  • To establish a protocol for eutherian comparative genomic analysis.
  • To provide guidance for identifying and correcting potential genomic sequence errors.
  • To curate and update eutherian gene datasets.

Main Methods:

  • Utilized 35 public eutherian reference genomic sequence assemblies.
  • Employed freely available software for analysis.
  • Developed and published a comparative genomic analysis protocol (RRID:SCR_014401).
  • Curated 14 eutherian third-party data gene datasets, totaling 2615 complete coding sequences.
Keywords:
Comparative genomicsEutheriaGene data setRRID:SCR_014401

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  • Deposited curated data in the European Nucleotide Archive.
  • Main Results:

    • A comprehensive protocol for eutherian comparative genomics was established.
    • 14 eutherian gene datasets were curated, comprising 2615 coding sequences.
    • The curated gene collections facilitated revisions in gene data set classifications and nomenclatures.
    • Enabled updates in gene annotations, phylogenetic analyses, and protein molecular evolution analyses.

    Conclusions:

    • The developed protocol enhances the accuracy and reliability of eutherian genomic data.
    • This work provides a foundation for future large-scale comparative genomic studies in eutherians.
    • The curated datasets and methodology support advancements in understanding eutherian gene evolution and function.