Tool: BioTuring Big Data: a new portal for reanalyzing large public single-cell RNA-seq data sets
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gravatar for Jennifer Pham
6 months ago by
Jennifer Pham380
San Diego CA
Jennifer Pham380 wrote:

We introduce BioTuring Big Data Portal for reanalyzing large public single-cell data sets.

The portal allows scientists to connect to BioTuring server and in real-time, explore its single-cell database of more than 6.5 million cells from more than 140 publications. Some data sets contain hundreds of thousands of cells (e.g: Tabula Muris Senis, Human Cell Landscape, etc.), with the largest one exceeding 1.3 million (Mouse Organogenesis Cell Atlas by Cao et. al, 2019).

To make high-speed analysis and real-time visualization on millions of cells possible, we have done a lot of engineering work (100X improvement in speed of gene marker finding algorithm, data compression, improvement in sparse matrix read/write, scatter plot visualization, etc.).

Supported analyses include fast marker finding, cross-studies gene expression comparison, searching for similar populations across the entire database, sub-clustering, differential expression analysis, CITE-Seq/TCR-Seq data analysis, and many more.

And during this lockdown month, the portal will be open for free for every scientist.

For more information and set-up instructions, visit: https://bioturing.com/bigdata

See introduction video: https://youtu.be/QH47ri8_QSk

View list of available data sets: https://bioturing.com/bbrowser/datasets

enter image description here

Tabula Muris Senis

enter image description here Gene query

enter image description here Marker gene finding

enter image description here Differential expression analysis

enter image description here Cross-studies gene expression comparison

enter image description here Cell Search dashboard: Searching similar cell populations across the entire database

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