2022-11-18Zeitschriftenartikel
What the Phage: a scalable workflow for the identification and analysis of phage sequences
dc.contributor.author | Marquet, Mike | |
dc.contributor.author | Hölzer, Martin | |
dc.contributor.author | Pletz, Mathias W. | |
dc.contributor.author | Viehweger, Adrian | |
dc.contributor.author | Makarewicz, Oliwia | |
dc.contributor.author | Ehricht, Ralf | |
dc.contributor.author | Brandt, Christian | |
dc.date.accessioned | 2024-09-10T11:48:44Z | |
dc.date.available | 2024-09-10T11:48:44Z | |
dc.date.issued | 2022-11-18 | none |
dc.identifier.other | 10.1093/gigascience/giac110 | |
dc.identifier.uri | http://edoc.rki.de/176904/12132 | |
dc.description.abstract | Phages are among the most abundant and diverse biological entities on earth. Phage prediction from sequence data is a crucial first step to understanding their impact on the environment. A variety of bacteriophage prediction tools have been developed over the years. They differ in algorithmic approach, results, and ease of use. We, therefore, developed “What the Phage” (WtP), an easy-to-use and parallel multitool approach for phage prediction combined with an annotation and classification downstream strategy, thus supporting the user's decision-making process by summarizing the results of the different prediction tools in charts and tables. WtP is reproducible and scales to thousands of datasets through a workflow manager (Nextflow). WtP is freely available under a GPL-3.0 license (https://github.com/replikation/What_the_Phage). | eng |
dc.language.iso | eng | none |
dc.publisher | Robert Koch-Institut | |
dc.rights | (CC BY 3.0 DE) Namensnennung 3.0 Deutschland | ger |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/de/ | |
dc.subject | phage prediction | eng |
dc.subject | easy to use | eng |
dc.subject | Nextflow | eng |
dc.subject | Docker | eng |
dc.subject | multitool approach | eng |
dc.subject | scalable | eng |
dc.subject.ddc | 610 Medizin und Gesundheit | none |
dc.title | What the Phage: a scalable workflow for the identification and analysis of phage sequences | none |
dc.type | article | |
dc.identifier.urn | urn:nbn:de:0257-176904/12132-2 | |
dc.type.version | publishedVersion | none |
local.edoc.container-title | GIGA SCIENCE | none |
local.edoc.container-issn | 2047-217X | none |
local.edoc.pages | 8 | none |
local.edoc.type-name | Zeitschriftenartikel | |
local.edoc.container-type | periodical | |
local.edoc.container-type-name | Zeitschrift | |
local.edoc.container-url | https://academic.oup.com/gigascience | none |
local.edoc.container-publisher-name | Oxford University Press | none |
local.edoc.container-volume | 11 | none |
local.edoc.container-reportyear | 2022 | none |
dc.description.version | Peer Reviewed | none |