Published March 5, 2024 | Version 2024.03.a
Dataset Open

[Dataset] Advanced Single Cell Analysis tutorial - Complete downstream analysis across conditions

  • 1. BiRC (Bioinformatics Research Center, Aarhus University)
  • 2. ROR icon Aarhus University

Description

Datasets and metadata used for the full streamline analysis of plant data under different conditions of infection. The tutorial is an example of analysis which can be useful in multiple scenario where comparisons are needed (healthy and sick patients, for example). You can find the tutorial at our website https://hds-sandbox.github.io/AdvancedSingleCell

Usage notes:

all files are ready to use, except for control1.tar.gz which is a folder that needs to be decompressed

Files

Files (5.3 GB)

Name Size Download all
md5:5862f8ebe3f3c4f09db7b814c4edb9b7
86.4 MB Download
md5:1e965505c11df76e82bb94e1c1a048f9
769.2 MB Download
md5:15e429b8229d5681d50d5b8807871a85
2.2 GB Download
md5:b369d7143bd29d03eba1521b167d9250
1.1 GB Download
md5:b630cf96d046f59cc0ac644949801a83
1.1 GB Download
md5:3707f7e8f1e45e8dbb956118e60aa11a
18.0 MB Download

Additional details

Additional titles

Subtitle (English)
Data used for an example of a complete downstream analysis with comparisons across conditions

Funding

The National Helath Data Science Sandbox for Training and Research NNF20OC0063268
Novo Nordisk (Denmark)

Dates

Available
2024-03-06
First upload

Biodiversity

Scientific name
Lotus Japonicus