URL: | https://panglaodb.se/ |
Full name: | |
Description: | PanglaoDB is a database for the scientific community interested in exploration of single cell RNA sequencing experiments from mouse and human. We collect and integrate data from multiple studies and present them through a unified framework. |
Year founded: | 2019 |
Last update: | 2020-05-21 |
Version: | |
Accessibility: |
Manual:
Accessible
|
Country/Region: | Sweden |
Data type: | |
Data object: | |
Database category: | |
Major species: | |
Keywords: |
University/Institution: | Karolinska Institute |
Address: | Integrated Cardio Metabolic Centre (ICMC), Department of Medicine, Karolinska Institutet, Novum SE Huddinge, Sweden |
City: | |
Province/State: | |
Country/Region: | Sweden |
Contact name (PI/Team): | Oscar Franzén |
Contact email (PI/Helpdesk): | contact@panglaodb.se |
PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data. [PMID: 30951143]
Single-cell RNA sequencing is an increasingly used method to measure gene expression at the single cell level and build cell-type atlases of tissues. Hundreds of single-cell sequencing datasets have already been published. However, studies are frequently deposited as raw data, a format difficult to access for biological researchers due to the need for data processing using complex computational pipelines. We have implemented an online database, PanglaoDB, accessible through a user-friendly interface that can be used to explore published mouse and human single cell RNA sequencing studies. PanglaoDB contains pre-processed and pre-computed analyses from more than 1054 single-cell experiments covering most major single cell platforms and protocols, based on more than 4 million cells from a wide range of tissues and organs. The online interface allows users to query and explore cell types, genetic pathways and regulatory networks. In addition, we have established a community-curated cell-type marker compendium, containing more than 6000 gene-cell-type associations, as a resource for automatic annotation of cell types. |