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10.18632/oncotarget.16144 http://scihub22266oqcxt.onion/10.18632/oncotarget.16144 C5514890!5514890!28416765     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       Oncotarget 2017 ; 8 (23): 37032-40 Nephropedia Template TP {{tp|p=28416765|t=2017. LoLoPicker: detecting low allelic-fraction variants from low-quality cancer samples |pdf=|usr=}}{{28416765}} gab.com Text LoLoPicker: detecting low allelic-fraction variants from low-quality cancer samples JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=28416765 #FOAvip Introduction: Although several programs are designed to identify variants with low allelic-fraction, further improvement is needed, especially to push the detection limit of low allelic-faction variants in low-quality, ?noisy? tumor samples. Results: We developed LoLoPicker, an efficient tool dedicated to calling somatic variants from next-generation sequencing (NGS) data of tumor sample against the matched normal sample plus a user-defined control panel of additional normal samples. The control panel allows accurately estimating background error rate and therefore ensures high-accuracy mutation detection. Conclusions: Compared to other methods, we showed a superior performance of LoLoPicker with significantly improved specificity. The algorithm of LoLoPicker is particularly useful for calling low allelic-fraction variants from low-quality cancer samples such as formalin-fixed and paraffin-embedded (FFPE) samples.Implementation and Availability: The main scripts are implemented in Python-2.7 and the package is released athttps://github.com/jcarrotzhang/LoLoPicker. Twit Text FOAVip LoLoPicker: detecting low allelic-fraction variants from low-quality cancer samples ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=28416765 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28416765 #FOAvip English Wikipedia <ref>{{Cite pmid|28416765}}</ref> LoLoPicker: detecting low allelic-fraction variants from low-quality cancer samples #MMPMID28416765 Carrot-Zhang J; Majewski J Oncotarget 2017[Jun]; 8 (23): 37032-40 PMID28416765show ga Introduction: Although several programs are designed to identify variants with low allelic-fraction, further improvement is needed, especially to push the detection limit of low allelic-faction variants in low-quality, ?noisy? tumor samples. Results: We developed LoLoPicker, an efficient tool dedicated to calling somatic variants from next-generation sequencing (NGS) data of tumor sample against the matched normal sample plus a user-defined control panel of additional normal samples. The control panel allows accurately estimating background error rate and therefore ensures high-accuracy mutation detection. Conclusions: Compared to other methods, we showed a superior performance of LoLoPicker with significantly improved specificity. The algorithm of LoLoPicker is particularly useful for calling low allelic-fraction variants from low-quality cancer samples such as formalin-fixed and paraffin-embedded (FFPE) samples.Implementation and Availability: The main scripts are implemented in Python-2.7 and the package is released athttps://github.com/jcarrotzhang/LoLoPicker. äLoLoPicker: detecting low allelic-fraction variants from low-quality c(epmc).pdf DeepDyve Pubget Overpricing