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Generating Strictly Controlled Stimuli for Figure Recognition Experiments
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Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs.

David Schaller1,2, Manuela Geiß3, Peter F Stadler1,4,5,6,7

  • 1Max-Planck-Institute for Mathematics in the Sciences, Inselstraße 22, D-04103, Leipzig, Germany.

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Summary

This study introduces a novel method to identify incorrect gene orthology assignments, specifically unambiguous false positives (u-fp). The new algorithm accurately detects these errors in gene family evolution, improving genomic data reliability.

Keywords:
Best matchesCographColored graphsOrthology detectionPolynomial-time algorithmTree reconciliationUnambiguous orthologs

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Orthology assignment is crucial for comparative genomics.
  • Reciprocal best matches are standard but can yield false positives.
  • Horizontal gene transfer (HGT) and gene duplication/loss complicate orthology detection.

Purpose of the Study:

  • To identify and characterize unambiguous false-positive (u-fp) orthology assignments.
  • To develop an efficient algorithm for detecting u-fp assignments in best match graphs (BMGs).
  • To improve the accuracy of genome-scale orthology predictions.

Main Methods:

  • Analysis of gene duplication and loss scenarios.
  • Characterization of u-fp orthology assignments within BMGs.
  • Development of a polynomial-time algorithm to detect u-fp assignments.

Main Results:

  • A method to identify u-fp orthology assignments based solely on BMG structure.
  • A polynomial-time algorithm for detecting these errors.
  • Simulations indicate the method can detect at least [Formula: see text] of incorrect orthology assignments.

Conclusions:

  • The developed algorithm effectively identifies u-fp orthology assignments without prior tree knowledge.
  • This approach enhances the reliability of large-scale orthology predictions.
  • The findings contribute to more accurate evolutionary analyses of gene families.