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Computational Inference Software for Tetrad Assembly from Randomly Arrayed Yeast Colonies.


ABSTRACT: 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.

SUBMITTER: Sakhanenko NA 

PROVIDER: S-EPMC6643883 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Computational Inference Software for Tetrad Assembly from Randomly Arrayed Yeast Colonies.

Sakhanenko Nikita A NA   Cromie Gareth A GA   Dudley Aimée M AM   Galas David J DJ  

G3 (Bethesda, Md.) 20190709 7


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  ...[more]

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