Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

paraCell: A novel software tool for the interactive analysis and visualization of standard and dual host-parasite single cell RNA-Seq data

Title: paraCell: A novel software tool for the interactive analysis and visualization of standard and dual host-parasite single cell RNA-Seq data
Authors: Agboraw, Edward; Haese-Hill, William; Hentzschel, Franziska; Marie Briggs, Emma; Aghabi, Dana; Heawood, Anna; Harding, Clare R.; Shiels, Brian; Crouch, Kathryn R.; Somma, Domenico; Otto, Thomas D.
Publication Year: 2024
Collection: University of Glasgow: Enlighten - Publications
Description: Advances in sequencing technology have led to a dramatic increase in the number of single-cell transcriptomic datasets available. In the field of parasitology these datasets typically describe the gene expression patterns of a given parasite species under specific experimental conditions, in specific hosts or tissues, or at different life-cycle stages. However, while this wealth of available data represents a significant resource for further research, the analysis of these datasets often requires significant computational skills, preventing a considerable proportion of the parasitology community from meaningfully incorporating existing single-cell data into their work. Here, we present paraCell, a novel software tool that automates the advanced analysis of published single-cell data without requiring any programming ability. On our free web-server, we demonstrated how to visualise data, re-analyse published Plasmodium and Trypanosoma datasets, and present novel Toxoplasma-mouse and Theileira-cow atlases to study the impact of IFN-γ and host genetic susceptibility.
Document Type: article in journal/newspaper
File Description: text
Language: English
Relation: https://eprints.gla.ac.uk/345968/1/345968.pdf; Agboraw, E. et al. (2024) paraCell: A novel software tool for the interactive analysis and visualization of standard and dual host-parasite single cell RNA-Seq data. bioRxiv , (doi:10.1101/2024.08.29.610375 )
DOI: 10.1101/2024.08.29.610375
Availability: https://eprints.gla.ac.uk/345968/; https://eprints.gla.ac.uk/345968/1/345968.pdf; https://doi.org/10.1101/2024.08.29.610375
Rights: cc_by_nc_nd_4
Accession Number: edsbas.DCA6ABBD
Database: BASE