May 25, 2022: New Datasets in Coronary arteries, Alzheimers, etc.
We have been working hard on the release of PlaqView 2.0 and its associated manuscript. Keep an eye out for us!
Today we released three new, and exciting datasets!
May 13, 2022: snATAC-seq portal is in Public Beta!
We have been working hard on a new project! We are happy to announce the public beta of our new PlaqView-ATAC portal. This portal, a part of PlaqView, will be dedicated to sn/scATAC-seq data, powered by ArchR and R/Shiny.
One of the biggest obstacles with ATAC-seq data is data sparsity. These type of data are enormous, and it is extremely computationally intensive to calculate. Please let us know your experience and suggestions for improvement.
In this portal, we feature the Turner_2022 data (preprint available). We are actively working on new datasets! Send us your data!
March 31, 2022: Bug Fixed!
We were aware of the bug in the download functions. This was due to a load-balancer issue on the back-end and we have now fixed it! Please let us know if you have any other suggestions or improvements.
Feb 28, 2022: Metadata Explorer is LIVE!
Many single-cell RNA-seq data comes with unstructured metadata, such as gender, sex, phenotype of the samples. Sometimes, it may be helpful to explore these metadata and query gene expression based on phenotypes. Here, we introduce Metadata Explorer.
To test the Metadata Explorer to the fullest extent, we recommend trying to load any of the Litvinukova datasets, since they have the most well-curated metadata.
Please send us feedback on what else you would like to see.
Feb 28, 2022: Added Human Valve dataset from Xu et al.
Feb 19, 2022: Added Mouse Datasets!
In this release we added scRNA-seq data from mouse experiments. In the next week we will be releasing a "Metadata explorer" that will further facilitate the exploration of the various disease states in these datasets!
We thank Dr. Judith Sluimer for these following datasets.
Feb 9th, 2022: erratum/update to Li et al (2020)
It has been brought to our attention that Li_2020 dataset could not be processed in our standardized pipeline. Normally, low mitochondrial read cells (<5%) are deemed "high quality cells" (see Seurat notes). However in our analysis this dataset contained extremely high mitochondria reads (mitochondrial expression was an important aspect in the study). Because original authors did not make available their original scripts (see their data supplement), we did our best to recapitulate the original dataset.
In the end we decided to make available two versions of this dataset:
original, full dataset with minimum filtering (cut off for mitochondrial read is 100% and nfeature was set to <7000/cell).
lowmito, we filtered and processed this dataset in the same manner as all our other datasets (nfeature <2500/cell and mitochondrial read <5%).
For further questions about this dataset please refer to their publication, or contact the original authors.
Jan 25, 2022: Added COVID Heart Data and the CIPR Tool!
In this release we added scRNA-seq data from Delorey et al., who presented data from COVID-19 patient autopsies.
We also introduce CIPR (Cell Identity PRedictor), which adds expanded capability to cross-examine cell identification labels against know references. CIPR calculates a Cell Identity Score based on how similar our PlaqView clusters are to the known references' expression patterns.
Jan 17, 2022: Added Reference Atlases!
In this release we focused on large heart atlases! Two (very) large human references, Tucker et al., from Circulation, and Litvinukova et al., from Nature Medicine, have been processed and made available. Additionally, Litvinukova et al. divided their dataset into sub-datasets (e.g. focusing on just Fibroblasts, Immune Cells, etc.), and these subdatasets are also available on PlaqView. These are very large datasets so please be mindful of processing time when exploring. Please send feedback to firstname.lastname@example.org.
Dec 19, 2021: PlaqView 2.0 is Live!
In this release we focused on making the app more user-friendly, adding more features and more disease-relevant datasets. Please send feedback to email@example.com.
Layout Improvement for all pages to facilitate better user experience.
Changed the way we load dataset.
Added clearer instruction on how to use PlaqView.
Changed major function button colors to make clear how to run queries, etc.
Added ability to download druggable genome UMAP.
Removed PAGA, slingshot, and SCORPIUS (due to underperformance in larger datasets)
Added 'Trajectory Explorer' where users can view the original trajectory as inferred by Monocle3, and user can re-defined cells of interests to re-calculate trajectory to further explore cell types of interest.
Added the ability to download original trajectory as well as new subset trajectory.