Computational Inference Software for Tetrad Assembly from Randomly Arrayed Yeast Colonies | Zendy

Nikita A. Sakhanenko | Zendy; Gareth A. Cromie | Zendy; Aimée M. Dudley | Zendy; David J. Galas | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Computational Inference Software for Tetrad Assembly from Randomly Arrayed Yeast Colonies

Author(s) -

Nikita A. Sakhanenko,

Gareth A. Cromie,

Aimée M. Dudley,

David J. Galas

Publication year - 2019

Publication title -

g3 genes genomes genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.468

H-Index - 66

ISSN - 2160-1836

DOI - 10.1534/g3.119.400166

Subject(s) - tetrad , centromere , meiosis , genetics , biology , sister chromatids , software , computational biology , spore , chromosome , computer science , gene , botany , programming language

We describe an information-theory-based method and associated software for computationally identifying sister spores derived from the same meiotic tetrad. The method exploits specific DNA sequence features of tetrads that result from meiotic centromere and allele segregation patterns. Because the method uses only the genomic sequence, it alleviates the need for tetrad-specific barcodes or other genetic modifications to the strains. Using this method, strains derived from randomly arrayed spores can be efficiently grouped back into tetrads.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research