Status: Bibliographieeintrag
Standort: ---
Exemplare:
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| Online-Ressource |
Verfasst von: | Rauscher, Benedikt [VerfasserIn]  |
| Valentini, Erica [VerfasserIn]  |
| Hardeland, Ulrike [VerfasserIn]  |
| Boutros, Michael [VerfasserIn]  |
Titel: | Phenotype databases for genetic screens in human cells |
Verf.angabe: | Benedikt Rauscher, Erica Valentini, Ulrike Hardeland, Michael Boutros |
E-Jahr: | 2017 |
Jahr: | 16 June 2017 |
Umfang: | 7 S. |
Fussnoten: | Gesehen am 20.04.2018 |
Titel Quelle: | Enthalten in: Journal of biotechnology |
Ort Quelle: | Amsterdam [u.a.] : Elsevier Science, 1984 |
Jahr Quelle: | 2017 |
Band/Heft Quelle: | 261(2017), Seite 63-69 |
ISSN Quelle: | 1873-4863 |
Abstract: | Genetic screens are powerful tools to identify components that make up biological systems. Perturbations introduced by methods such as RNA interference (RNAi) or CRISPR/Cas9-mediated genome editing lead to biological phenotypes that can be examined to understand the molecular function of genes in the cell. Over the years, many of such experiments have been conducted providing a wealth of knowledge about genotype-to-phenotype relationships. These data are a rich source of information and it is in a common interest to make them available in a simplified and integrated format. Thus, an important challenge is that genetic screening data can be stored in databases in standardized ways, allowing users to gain new biological insights through data mining and integrated analyses. Here, we provide an overview of available phenotype databases for human cells. We review in detail two databases for high-throughput screens, GenomeRNAi and GenomeCRISPR, and describe how these resources are integrated into the German Network for Bioinformatics Infrastructure de.NBI as part of the European infrastructure for life-science information ELIXIR. |
DOI: | doi:10.1016/j.jbiotec.2017.06.008 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext ; Verlag: http://dx.doi.org/10.1016/j.jbiotec.2017.06.008 |
| Volltext: http://www.sciencedirect.com/science/article/pii/S0168165617302894 |
| DOI: https://doi.org/10.1016/j.jbiotec.2017.06.008 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Database |
| de.NBI |
| ELIXIR |
| Functional genomics |
| High-throughput biology |
| Phenotype |
K10plus-PPN: | 1572223642 |
Verknüpfungen: | → Zeitschrift |
Phenotype databases for genetic screens in human cells / Rauscher, Benedikt [VerfasserIn]; 16 June 2017 (Online-Ressource)
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