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10.1016/j.cels.2015.08.014 http://scihub22266oqcxt.onion/10.1016/j.cels.2015.08.014 C4982675!4982675!27135912     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       Cell+Syst 2015 ; 1 (3): 197-209 Nephropedia Template TP {{tp|p=27135912|t=2015. Pan-Cancer Analysis of Mutation Hotspots in Protein Domains |pdf=|usr=}}{{27135912}} gab.com Text Pan-Cancer Analysis of Mutation Hotspots in Protein Domains JO: Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=27135912 #FOAvip In cancer genomics, recurrence of mutations in independent tumor samples is a strong indicator of functional impact. However, rare functional mutations can escape detection by recurrence analysis owing to lack of statistical power. We enhance statistical power by extending the notion of recurrence of mutations from single genes to gene families that share homologous protein domains. Domain mutation analysis also sharpens the functional interpretation of the impact of mutations, as domains more succinctly embody function than entire genes. By mapping mutations in 22 different tumor types to equivalent positions in multiple sequence alignments of domains, we confirm well-known functional mutation hotspots; identify uncharacterized rare variants in one gene that are equivalent to well-characterized mutations in another gene; detect previously unknown mutation hotspots; and provide hypotheses about molecular mechanisms and downstream effects of domain mutations. With the rapid expansion of cancer genomics projects, protein domain hotspot analysis will likely provide many more leads linking mutations in proteins to the cancer phenotype. Twit Text FOAVip Pan-Cancer Analysis of Mutation Hotspots in Protein Domains ????Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=27135912 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27135912 #FOAvip English Wikipedia <ref>{{Cite pmid|27135912}}</ref> Pan-Cancer Analysis of Mutation Hotspots in Protein Domains #MMPMID27135912 Miller ML; Reznik E; Gauthier NP; Aksoy BA; Korkut A; Gao J; Ciriello G; Schultz N; Sander C Cell Syst 2015[Sep]; 1 (3): 197-209 PMID27135912show ga In cancer genomics, recurrence of mutations in independent tumor samples is a strong indicator of functional impact. However, rare functional mutations can escape detection by recurrence analysis owing to lack of statistical power. We enhance statistical power by extending the notion of recurrence of mutations from single genes to gene families that share homologous protein domains. Domain mutation analysis also sharpens the functional interpretation of the impact of mutations, as domains more succinctly embody function than entire genes. By mapping mutations in 22 different tumor types to equivalent positions in multiple sequence alignments of domains, we confirm well-known functional mutation hotspots; identify uncharacterized rare variants in one gene that are equivalent to well-characterized mutations in another gene; detect previously unknown mutation hotspots; and provide hypotheses about molecular mechanisms and downstream effects of domain mutations. With the rapid expansion of cancer genomics projects, protein domain hotspot analysis will likely provide many more leads linking mutations in proteins to the cancer phenotype. äPan-Cancer Analysis of Mutation Hotspots in Protein Domains (epmc).pdf DeepDyve Pubget Overpricing