A hybrid pipeline for reconstruction and analysis of viral genomes at multi-organ level | Zendy

Diogo Pratas | Zendy; Mari Toppinen | Zendy; Lari Pyöriä | Zendy; Klaus Hedman | Zendy; Antti Sajantila | Zendy; Maria F. Perdomo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A hybrid pipeline for reconstruction and analysis of viral genomes at multi-organ level

Author(s) -

Diogo Pratas,

Mari Toppinen,

Lari Pyöriä,

Klaus Hedman,

Antti Sajantila,

Maria F. Perdomo

Publication year - 2020

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giaa086

Subject(s) - genome , pipeline (software) , computational biology , structural variation , computer science , biology , identification (biology) , sequence assembly , dna sequencing , dna , genetics , gene , transcriptome , gene expression , botany , programming language

Advances in sequencing technologies have enabled the characterization of multiple microbial and host genomes, opening new frontiers of knowledge while kindling novel applications and research perspectives. Among these is the investigation of the viral communities residing in the human body and their impact on health and disease. To this end, the study of samples from multiple tissues is critical, yet, the complexity of such analysis calls for a dedicated pipeline. We provide an automatic and efficient pipeline for identification, assembly, and analysis of viral genomes that combines the DNA sequence data from multiple organs. TRACESPipe relies on cooperation among 3 modalities: compression-based prediction, sequence alignment, and de novo assembly. The pipeline is ultra-fast and provides, additionally, secure transmission and storage of sensitive 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