Fast and Memory-Efficient Dynamic Programming Approach for Large-Scale EHH-Based Selection Scans

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Bibliografske podrobnosti
izdano v:	Molecular Biology and Evolution vol. 42, no. 11 (Nov 2025)
Glavni avtor:	Rahman, Amatur
Drugi avtorji:	Smith, T Quinn, Szpiech, Zachary A
Izdano:	Oxford University Press
Teme:	Statistics Dynamic programming Computation Source code Haplotypes Homozygosity Machine learning Algorithms Positive selection Genotypes Genomics Software Run time (computers) Environmental
Online dostop:	Citation/Abstract Full Text - PDF
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