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GoSynthetic database tool to analyse natural and engineered molecular processes

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-97023
  • An essential topic for synthetic biologists is to understand the structure and function of biological processes and involved proteins and plan experiments accordingly. Remarkable progress has been made in recent years towards this goal. However, efforts to collect and present all information on processes and functions are still cumbersome. The database tool GoSynthetic provides a new, simple and fast way to analyse biological processes applying a hierarchical database. Four different search modes are implemented. Furthermore, proteinAn essential topic for synthetic biologists is to understand the structure and function of biological processes and involved proteins and plan experiments accordingly. Remarkable progress has been made in recent years towards this goal. However, efforts to collect and present all information on processes and functions are still cumbersome. The database tool GoSynthetic provides a new, simple and fast way to analyse biological processes applying a hierarchical database. Four different search modes are implemented. Furthermore, protein interaction data, cross-links to organism-specific databases (17 organisms including six model organisms and their interactions), COG/KOG, GO and IntAct are warehoused. The built in connection to technical and engineering terms enables a simple switching between biological concepts and concepts from engineering, electronics and synthetic biology. The current version of GoSynthetic covers more than one million processes, proteins, COGs and GOs. It is illustrated by various application examples probing process differences and designing modifications.zeige mehrzeige weniger

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Metadaten
Autor(en): Thomas Dandekar, Chunguang Liang, Beate Krüger
URN:urn:nbn:de:bvb:20-opus-97023
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Database
Erscheinungsjahr:2013
Originalveröffentlichung / Quelle:In: Database (2013), doi:10.1093/database/bat043
DOI:https://doi.org/10.1093/database/bat043
Allgemeine fachliche Zuordnung (DDC-Klassifikation):5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Freie Schlagwort(e):Bioinformatik
Datum der Freischaltung:06.05.2014
Sammlungen:Open-Access-Publikationsfonds / Förderzeitraum 2013
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung