A spatiotemporally resolved single cell atlas of the Plasmodium liver stage
Rattachement africain : il, pt. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This code is associated with the paper "A spatiotemporally resolved single cell atlas of the Plasmodium liver stage" Data generated in this study have been deposited in Gene Expression Omnibus with the accession code GSE181725. The code used to process the raw data to a Scanpy/Seurat structure used for analysis is available at https://github.com/AmichayAfriat/SpatioTemporal_malaria_liver_stage_atlas/. In this repository, you will find processed scRNAseq data and the codes used for further analysis and data visualization. Codes written in R (4.0.2; packages include seurat, dplyr, tidyr, ggpubr, stats, and EnhancedVolcano) and MATLAB (2019a). Folder: Additional data Metadata used in the analysis NZ_data.txt - Zonation data extracted from smFISH images using the 'analyze_neighborhood_intensity.m' function Folder: Figures_source_data Data underlying the graphical representations used in figures Each file contains clearly labeled sheets for distinct subplots Folder: functions Functions used in Matlab scripts Folder: GSEA_OUTPUT Gene Set Enrichment Analysis (GSEA, v3.0) output. Curated KEGG and HALLMARK annotations were used Filtered for minimum 15 genes in set and maximum 500. Default setting of 1,000 permutation was used to establish significance. For abortive cells DGE stricter thresholds were used - relative expression > 10-4, and minimum 30 genes in set
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Où se fait cette recherche
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Weizmann Institute of Science Department of Molecular Cell Biology pays non établi dans la noticeUniversité ou école supérieure
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University of Lisbon pays non établi dans la noticeUniversité ou école supérieure
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Faculdade de Medicina Universidade de Lisboa Instituto de Medicina Molecular pays non établi dans la noticeUniversité ou école supérieure
Department of Molecular Cell Biology — Weizmann Institute of Science, University of Lisbon et Instituto de Medicina Molecular — Faculdade de Medicina Universidade de Lisboa.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.