GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data | Zendy

Rasool Tahmasbi | Zendy; Matthew C. Keller | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data

Author(s) -

Rasool Tahmasbi,

Matthew C. Keller

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw606

Subject(s) - computer science , sequence (biology) , snp , whole genome sequencing , computational biology , genome , genetics , biology , single nucleotide polymorphism , genotype , gene

Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes that cannot be analytically predicted and for creating realistic genetic data. There are many software packages that simulate genetic data, but they are typically not fast or memory efficient enough to simulate realistic, individual-level genome-wide SNP/sequence data.

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