Automated Detection of Endogenous Viral Elements in Host Genomes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU126368" target="_blank" >RIV/00216305:26220/18:PU126368 - isvavai.cz</a>

Výsledek na webu

<a href="https://pag.confex.com/pag/xxvi/meetingapp.cgi/Paper/31074" target="_blank" >https://pag.confex.com/pag/xxvi/meetingapp.cgi/Paper/31074</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Automated Detection of Endogenous Viral Elements in Host Genomes

Popis výsledku v původním jazyce

Endogenous Viral Elements (EVEs) are part of the host genome and allow horizontal transmission within a host, but the underlying evolutionary mechanisms are still unclear. Metagenomic sequencing data sets contain a wealth of information, including sequences from viruses. Such datasets present an opportunity to analyze known EVEs and discover new ones. We introduce a new method for extending viral contiguous sequences or contigs through the Building Up Domains (BUD) algorithm (https://github.com/NCBI-Hackathons/ViruSpy) that identifies virus DNA from sequencing experiments. This methodology differs from current virus discovery tools by iteratively building upon sequences that are known to contain a viral protein domains, and searching for surrounding non-viral protein domains. We designed EndoVir (https://github.com/NCBI-Hackathons/endovir) to implement BUD in Python3. To reduce the use of temporary files, data is streamed between processes where possible, e.g. we use MagicBLAST to screen the metageno

Název v anglickém jazyce

Automated Detection of Endogenous Viral Elements in Host Genomes

Popis výsledku anglicky

Endogenous Viral Elements (EVEs) are part of the host genome and allow horizontal transmission within a host, but the underlying evolutionary mechanisms are still unclear. Metagenomic sequencing data sets contain a wealth of information, including sequences from viruses. Such datasets present an opportunity to analyze known EVEs and discover new ones. We introduce a new method for extending viral contiguous sequences or contigs through the Building Up Domains (BUD) algorithm (https://github.com/NCBI-Hackathons/ViruSpy) that identifies virus DNA from sequencing experiments. This methodology differs from current virus discovery tools by iteratively building upon sequences that are known to contain a viral protein domains, and searching for surrounding non-viral protein domains. We designed EndoVir (https://github.com/NCBI-Hackathons/endovir) to implement BUD in Python3. To reduce the use of temporary files, data is streamed between processes where possible, e.g. we use MagicBLAST to screen the metageno

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

10606 - Microbiology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů