NGSphy: phylogenomic simulation of next-generation sequencing data | Zendy

Merly Escalona | Zendy; Sara Rocha | Zendy; David Posada | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

NGSphy: phylogenomic simulation of next-generation sequencing data

Author(s) -

Merly Escalona,

Sara Rocha,

David Posada

Publication year - 2018

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/bty146

Subject(s) - inference , computer science , pipeline (software) , source code , documentation , dna sequencing , tree (set theory) , data mining , phylogenomics , biology , computational biology , phylogenetic tree , genetics , artificial intelligence , gene , clade , mathematics , mathematical analysis , programming language , operating system

Advances in sequencing technologies have made it feasible to obtain massive datasets for phylogenomic inference, often consisting of large numbers of loci from multiple species and individuals. The phylogenomic analysis of next-generation sequencing (NGS) data requires a complex computational pipeline where multiple technical and methodological decisions are necessary that can influence the final tree obtained, like those related to coverage, assembly, mapping, variant calling and/or phasing.

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