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10.1371/journal.pone.0171566 http://scihub22266oqcxt.onion/10.1371/journal.pone.0171566 C5313163!5313163!28207771     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2017 ; 12 (2): ä Nephropedia Template TP {{tp|p=28207771|t=2017. Comparison of whole genome amplification techniques for human single cell exome sequencing |pdf=|usr=}}{{28207771}} gab.com Text Comparison of whole genome amplification techniques for human single cell exome sequencing JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28207771 #FOAvip Background: Whole genome amplification (WGA) is currently a prerequisite for single cell whole genome or exome sequencing. Depending on the method used the rate of artifact formation, allelic dropout and sequence coverage over the genome may differ significantly. Results: The largest difference between the evaluated protocols was observed when analyzing the target coverage and read depth distribution. These differences also had impact on the downstream variant calling. Conclusively, the products from the AMPLI1 and MALBAC kits were shown to be most similar to the bulk samples and are therefore recommended for WGA of single cells. Discussion: In this study four commercial kits for WGA (AMPLI1, MALBAC, Repli-G and PicoPlex) were used to amplify human single cells. The WGA products were exome sequenced together with non-amplified bulk samples from the same source. The resulting data was evaluated in terms of genomic coverage, allelic dropout and SNP calling. Twit Text FOAVip Comparison of whole genome amplification techniques for human single cell exome sequencing ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28207771 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28207771 #FOAvip English Wikipedia <ref>{{Cite pmid|28207771}}</ref> Comparison of whole genome amplification techniques for human single cell exome sequencing #MMPMID28207771 Borgström E; Paterlini M; Mold JE; Frisen J; Lundeberg J PLoS One 2017[]; 12 (2): ä PMID28207771show ga Background: Whole genome amplification (WGA) is currently a prerequisite for single cell whole genome or exome sequencing. Depending on the method used the rate of artifact formation, allelic dropout and sequence coverage over the genome may differ significantly. Results: The largest difference between the evaluated protocols was observed when analyzing the target coverage and read depth distribution. These differences also had impact on the downstream variant calling. Conclusively, the products from the AMPLI1 and MALBAC kits were shown to be most similar to the bulk samples and are therefore recommended for WGA of single cells. Discussion: In this study four commercial kits for WGA (AMPLI1, MALBAC, Repli-G and PicoPlex) were used to amplify human single cells. The WGA products were exome sequenced together with non-amplified bulk samples from the same source. The resulting data was evaluated in terms of genomic coverage, allelic dropout and SNP calling. äComparison of whole genome amplification techniques for human single c(epmc).pdf DeepDyve Pubget Overpricing