Pixel: a content management platform for quantitative omics data

In biology, high-throughput experimental technologies, also referred as "omics" technologies, are increasingly used in research laboratories. Several thousands of gene expression measurements can be obtained in a single experiment. Researchers are routinely facing the challenge to annotate...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PeerJ (San Francisco, CA) Jg. 7; S. e6623
Hauptverfasser:	Denecker, Thomas, Durand, William, Maupetit, Julien, Hébert, Charles, Camadro, Jean-Michel, Poulain, Pierre, Lelandais, Gaëlle
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 27.03.2019 PeerJ, Inc PeerJ PeerJ Inc
Schlagworte:	Application development software Biochemistry Bioinformatics Biology Computational Biology Computer applications Content management Data cycle analyses Data processing Data Science Datasets Experiments Gene expression Genes Genetic engineering Genomics Homeostasis Internet software Knowledge management Life Sciences Mass spectrometry Omics Open source Pixel Web App Proteins Proteomics Researchers Science Scientific imaging Software Technology France Data cycle analyses Open source Omics Pixel Web App Subjects Computational Biology Genomics Data Science Data cycle analyses
ISSN:	2167-8359, 2167-8359
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!