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10.1038/nmeth.4154 http://scihub22266oqcxt.onion/10.1038/nmeth.4154 C5908213!5908213!28135258     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Methods 2017 ; 14 (3): 302-8 Nephropedia Template TP {{tp|p=28135258|t=2017. Sequencing thousands of single-cell genomes with combinatorial indexing |pdf=|usr=}}{{28135258}} gab.com Text Sequencing thousands of single-cell genomes with combinatorial indexing JO: Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=28135258 #FOAvip Single-cell genome sequencing has proven valuable for the detection of somatic variation, particularly in the context of tumor evolution. Current technologies suffer from high library construction costs which restrict the number of cells that can be assessed and thus impose limitations on the ability to measure heterogeneity within a tissue. Here, we present Single cell Combinatorial Indexed Sequencing (SCI-seq) as a means of simultaneously generating thousands of low-pass single cell libraries for somatic copy number variant detection. We constructed libraries for 16,698 single cells from a combination of cultured cell lines, primate frontal cortex tissue, and two human adenocarcinomas, including a detailed assessment of subclonal variation within a pancreatic tumor. Twit Text FOAVip Sequencing thousands of single-cell genomes with combinatorial indexing ????Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=28135258 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28135258 #FOAvip English Wikipedia <ref>{{Cite pmid|28135258}}</ref> Sequencing thousands of single-cell genomes with combinatorial indexing #MMPMID28135258 Vitak SA; Torkenczy KA; Rosenkrantz JL; Fields AJ; Christiansen L; Wong MH; Carbone L; Steemers FJ; Adey A Nat Methods 2017[Mar]; 14 (3): 302-8 PMID28135258show ga Single-cell genome sequencing has proven valuable for the detection of somatic variation, particularly in the context of tumor evolution. Current technologies suffer from high library construction costs which restrict the number of cells that can be assessed and thus impose limitations on the ability to measure heterogeneity within a tissue. Here, we present Single cell Combinatorial Indexed Sequencing (SCI-seq) as a means of simultaneously generating thousands of low-pass single cell libraries for somatic copy number variant detection. We constructed libraries for 16,698 single cells from a combination of cultured cell lines, primate frontal cortex tissue, and two human adenocarcinomas, including a detailed assessment of subclonal variation within a pancreatic tumor. äSequencing thousands of single-cell genomes with combinatorial indexin(epmc).pdf DeepDyve Pubget Overpricing