Dataset of the day
Take a closer look at the cellular composition of
PBMC, using a dataset which consists of 1929 cells. Clustering of this dataset resulted in 5 cell clusters, containing among others,
Dendritic cells.
News
21-05-2020 Ongoing work to move to new hosting.
30-01-2020 A corrupted MySQL table caused dysfunction in the search function, the problem has now been fixed.
28-11-2019 We are looking for sponsors to host PanglaoDB. We have modest requirements (VPS with Ubuntu, etc). Please get in touch with us if you can provide help (contact@panglaodb.se).
01-07-2019 Updated the 2d view for data sets (now colors by cell type and not by cluster and colors are consistent across data sets). For example, see
this data set.
16-05-2019 Added more markers for
Tanycytes.
07-05-2019 Added markers for
Chromaffin cells.
01-05-2019 Markers for an additional cell types added: meet
the sebocyte.
30-04-2019 Added sensitivity and specificity to the
marker list (shown separately for mouse and human).
Show older news
12-04-2019 We are happy to announce
alona
- a cloud-based single cell analysis service!
Try it out.
02-04-2019 Metadata can be downloaded from our
github repo.
26-03-2019 The marker download link ("get tsv file") is now a stable link. It can be linked directly in scripts.
19-03-2019 Our manuscript entitled "PanglaoDB: A Web Server for Exploration of Mouse and Human Single Cell RNA Sequencing Data" has been accepted in the journal
Database.
18-03-2019 Markers can be voted for. In an experiment to try to extract crowd-enabled wisdom, we have introduced a voting function for markers. Markers can be upvoted or downvoted using
small arrows on the
marker page. Each visitor has one vote per marker-cell type. An anonymous hash is computed to store voting status. Arrows become visible when selecting a specific cell type from the list. Voting does not require registration, and it is done anonymously.
19-11-2018 Differential expression analysis now takes input threshold arguments (q-value and log fold change).
16-11-2018 Differential expression analysis is now available. Enter the interactive view for a sample, then click the "Differential expression" link.