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10.1093/nar/gky421 http://scihub22266oqcxt.onion/10.1093/nar/gky421 C6030823!6030823!29788498     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nucleic+Acids+Res 2018 ; 46 (Web Server issue): W141-7 Nephropedia Template TP {{tp|p=29788498|t=2018. CellAtlasSearch: a scalable search engine for single cells |pdf=|usr=}}{{29788498}} gab.com Text CellAtlasSearch: a scalable search engine for single cells JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=29788498 #FOAvip 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. Twit Text FOAVip CellAtlasSearch: a scalable search engine for single cells ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=29788498 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29788498 #FOAvip English Wikipedia <ref>{{Cite pmid|29788498}}</ref> CellAtlasSearch: a scalable search engine for single cells #MMPMID29788498 Srivastava D; Iyer A; Kumar V; Sengupta D Nucleic Acids Res 2018[Jul]; 46 (Web Server issue): W141-7 PMID29788498show 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. äCellAtlasSearch: a scalable search engine for single cells (epmc).pdf DeepDyve Pubget Overpricing