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10.1007/s41745-020-00178-1 http://scihub22266oqcxt.onion/10.1007/s41745-020-00178-1 C7264973!7264973 !32837038     free     free     free       J+Indian+Inst+Sci 2020 ; 100 (3 ): 579-588 Nephropedia Template TP {{tp|p=32837038 |t=2020. Single-Cell RNA Sequencing for Precision Oncology: Current State-of-Art |pdf=|usr=}}{{32837038 }} gab.com Text Single-Cell RNA Sequencing for Precision Oncology: Current State-of-Art JO: J Indian Inst Sci http://www.kidney.de/pget.php?&tw=1&pmid=32837038 #FOAvip Tumors exhibit genetic and phenotypic diversity leading to intra-tumor heterogeneity (ITH). Further complex ecosystem (stromal and immune cells) of tumors contributes into the ITH. This ITH allows tumors to overcome various selection pressures such as anti-cancer therapies and metastasis at distant organs. Single-cell RNA-seq (scRNA-seq) has provided unprecedented insights into ITH and its implications in drug resistance and metastasis. As scRNA-seq technology grows and provides many new findings, new tools on different programming platforms are frequently generated. Here, we aim to provide a framework and guidelines for new entrants into the field of scRNA-seq. In this review, we discuss the current state-of-art of scRNA-seq analysis step-by-step including filtering, normalization and analysis. First, we discuss the brief history of experimental methods, followed by data processing and implications in precision oncology. Twit Text FOAVip Single-Cell RNA Sequencing for Precision Oncology: Current State-of-Art ????J Indian Inst Sci http://www.kidney.de/pget.php?&tw=1&pmid=32837038 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32837038 #FOAvip English Wikipedia <ref>{{Cite pmid|32837038 }}</ref> Single-Cell RNA Sequencing for Precision Oncology: Current State-of-Art #MMPMID32837038 Seow JJW ; Wong RMM ; Pai R ; Sharma A J Indian Inst Sci 2020[]; 100 (3 ): 579-588 PMID32837038 show ga Tumors exhibit genetic and phenotypic diversity leading to intra-tumor heterogeneity (ITH). Further complex ecosystem (stromal and immune cells) of tumors contributes into the ITH. This ITH allows tumors to overcome various selection pressures such as anti-cancer therapies and metastasis at distant organs. Single-cell RNA-seq (scRNA-seq) has provided unprecedented insights into ITH and its implications in drug resistance and metastasis. As scRNA-seq technology grows and provides many new findings, new tools on different programming platforms are frequently generated. Here, we aim to provide a framework and guidelines for new entrants into the field of scRNA-seq. In this review, we discuss the current state-of-art of scRNA-seq analysis step-by-step including filtering, normalization and analysis. First, we discuss the brief history of experimental methods, followed by data processing and implications in precision oncology. ?Single-Cell RNA Sequencing for Precision Oncology: Current State-of-Ar(epmc).pdf DeepDyve Pubget Overpricing