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2018 ; 46
(W1
): W141-W147
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CellAtlasSearch: a scalable search engine for single cells
#MMPMID29788498
Srivastava D
; Iyer A
; Kumar V
; Sengupta D
Nucleic Acids Res
2018[Jul]; 46
(W1
): W141-W147
PMID29788498
show ga
Owing to the advent of high throughput single cell transcriptomics, past few
years have seen exponential growth in production of gene expression data.
Recently efforts have been made by various research groups to homogenize and
store single cell expression from a large number of studies. The true value of
this ever increasing data deluge can be unlocked by making it searchable. To this
end, we propose CellAtlasSearch, a novel search architecture for high dimensional
expression data, which is massively parallel as well as light-weight, thus
infinitely scalable. In CellAtlasSearch, we use a Graphical Processing Unit (GPU)
friendly version of Locality Sensitive Hashing (LSH) for unmatched speedup in
data processing and query. Currently, CellAtlasSearch features over 300 000
reference expression profiles including both bulk and single-cell data. It
enables the user query individual single cell transcriptomes and finds matching
samples from the database along with necessary meta information. CellAtlasSearch
aims to assist researchers and clinicians in characterizing unannotated single
cells. It also facilitates noise free, low dimensional representation of
single-cell expression profiles by projecting them on a wide variety of reference
samples. The web-server is accessible at: http://www.cellatlassearch.com.