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Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
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Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
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ALeS: adaptive-length spaced-seed design.

Arnab Mallik1, Lucian Ilie1

  • 1Department of Computer Science, University of Western Ontario, London, ON N6A 5B7, Canada.

Bioinformatics (Oxford, England)
|June 9, 2021
PubMed
Summary

We developed ALeS, a new algorithm for designing highly sensitive spaced seeds used in biological sequence similarity searches. ALeS outperforms existing methods and accurately estimates seed sensitivity for improved biological research.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Sequence similarity searches are fundamental in biological research, with tools like BLAST widely employed.
  • The efficiency of BLAST relies on identifying 'seeds,' and using multiple spaced seeds offers significant improvement potential.
  • Designing optimal spaced seeds is computationally challenging, necessitating advanced heuristic algorithms.

Purpose of the Study:

  • To introduce a novel algorithm and software, ALeS, for designing highly sensitive spaced seeds.
  • To provide a method for accurately estimating the sensitivity of any given seed.
  • To improve upon the state-of-the-art in spaced seed design for biological sequence analysis.

Main Methods:

  • Development of the ALeS algorithm for spaced seed design.

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  • Extensive testing and comparison of ALeS against existing state-of-the-art programs.
  • Implementation of a method for accurate sensitivity estimation of arbitrary seeds.
  • Main Results:

    • ALeS generates more sensitive seeds compared to current leading programs.
    • The ALeS software provides accurate sensitivity estimations for various seeds.
    • Demonstrated superior performance of ALeS through comprehensive evaluations.

    Conclusions:

    • ALeS represents a significant advancement in spaced seed design for sequence similarity.
    • The ability to accurately estimate seed sensitivity facilitates better tool development.
    • ALeS offers improved sensitivity for biological sequence analysis, enhancing research capabilities.