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10.1093/bioinformatics/btv426 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btv426 C4653382!4653382!26249815     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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26249815.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Bioinformatics 2015 ; 31 (23): 3830-1 Nephropedia Template TP {{tp|p=26249815|t=2015. cgmisc: enhanced genome-wide association analyses and visualization |pdf=|usr=}}{{26249815}} gab.com Text cgmisc: enhanced genome-wide association analyses and visualization JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26249815 #FOAvip Summary: High-throughput genotyping and sequencing technologies facilitate studies of complex genetic traits and provide new research opportunities. The increasing popularity of genome-wide association studies (GWAS) leads to the discovery of new associated loci and a better understanding of the genetic architecture underlying not only diseases, but also other monogenic and complex phenotypes. Several softwares are available for performing GWAS analyses, R environment being one of them.Results: We present cgmisc, an R package that enables enhanced data analysis and visualization of results from GWAS. The package contains several utilities and modules that complement and enhance the functionality of the existing software. It also provides several tools for advanced visualization of genomic data and utilizes the power of the R language to aid in preparation of publication-quality figures. Some of the package functions are specific for the domestic dog (Canis familiaris) data.Availability and implementation: The package is operating system-independent and is available from: https://github.com/cgmisc-team/cgmiscContact:marcin.kierczak@imbim.uu.seSupplemen tary information:Supplementary data are available at Bioinformatics online. Twit Text FOAVip cgmisc: enhanced genome-wide association analyses and visualization ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26249815 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26249815 #FOAvip English Wikipedia <ref>{{Cite pmid|26249815}}</ref> cgmisc: enhanced genome-wide association analyses and visualization #MMPMID26249815 Kierczak M; Jab?o?ska J; Forsberg SKG; Bianchi M; Tengvall K; Pettersson M; Scholz V; Meadows JRS; Jern P; Carlborg Ö; Lindblad-Toh K Bioinformatics 2015[Dec]; 31 (23): 3830-1 PMID26249815show ga Summary: High-throughput genotyping and sequencing technologies facilitate studies of complex genetic traits and provide new research opportunities. The increasing popularity of genome-wide association studies (GWAS) leads to the discovery of new associated loci and a better understanding of the genetic architecture underlying not only diseases, but also other monogenic and complex phenotypes. Several softwares are available for performing GWAS analyses, R environment being one of them.Results: We present cgmisc, an R package that enables enhanced data analysis and visualization of results from GWAS. The package contains several utilities and modules that complement and enhance the functionality of the existing software. It also provides several tools for advanced visualization of genomic data and utilizes the power of the R language to aid in preparation of publication-quality figures. Some of the package functions are specific for the domestic dog (Canis familiaris) data.Availability and implementation: The package is operating system-independent and is available from: https://github.com/cgmisc-team/cgmiscContact:marcin.kierczak@imbim.uu.seSupplemen tary information:Supplementary data are available at Bioinformatics online. äcgmisc: enhanced genome-wide association analyses and visualization (epmc).pdf DeepDyve Pubget Overpricing