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http://scihub22266oqcxt.onion/ C5027376!5027376!26285306     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Hum+Mutat 2012 ; 33 (6): 930-40 Nephropedia Template TP {{tp|p=26285306|t=2012. Diagnostic Interpretation of Array Data Using Public Databases and Internet Sources |pdf=|usr=}}{{26285306}} gab.com Text Diagnostic Interpretation of Array Data Using Public Databases and Internet Sources JO: Hum Mutat http://www.kidney.de/pget.php?&tw=1&pmid=26285306 #FOAvip The range of commercially available array platforms and analysis software packages is expanding and their utility is improving, making reliable detection of copy-number variants (CNVs) relatively straightforward. Reliable interpretation of CNV data, however, is often difficult and requires expertise. With our knowledge of the human genome growing rapidly, applications for array testing continuously broadening, and the resolution of CNV detection increasing, this leads to great complexity in interpreting what can be daunting data. Correct CNV interpretation and optimal use of the genotype information provided by single-nucleotide polymorphism probes on an array depends largely on knowledge present in various resources. In addition to the availability of host laboratories? own datasets and national registries, there are several public databases and Internet resources with genotype and phenotype information that can be used for array data interpretation. With so many resources now available, it is important to know which are fit-for-purpose in a diagnostic setting. We summarize the characteristics of the most commonly used Internet databases and resources, and propose a general data interpretation strategy that can be used for comparative hybridization, comparative intensity, and genotype-based array data. Twit Text FOAVip Diagnostic Interpretation of Array Data Using Public Databases and Internet Sources ????Hum Mutat http://www.kidney.de/pget.php?&tw=1&pmid=26285306 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26285306 #FOAvip English Wikipedia <ref>{{Cite pmid|26285306}}</ref> Diagnostic Interpretation of Array Data Using Public Databases and Internet Sources #MMPMID26285306 de Leeuw N; Dijkhuizen T; Hehir-Kwa JY; Carter NP; Feuk L; Firth HV; Kuhn RM; Ledbetter DH; Martin CL; van Ravenswaaij-Arts CMA; Scherer SW; Shams S; Van Vooren S; Sijmons R; Swertz M; Hastings R Hum Mutat 2012[Jun]; 33 (6): 930-40 PMID26285306show ga The range of commercially available array platforms and analysis software packages is expanding and their utility is improving, making reliable detection of copy-number variants (CNVs) relatively straightforward. Reliable interpretation of CNV data, however, is often difficult and requires expertise. With our knowledge of the human genome growing rapidly, applications for array testing continuously broadening, and the resolution of CNV detection increasing, this leads to great complexity in interpreting what can be daunting data. Correct CNV interpretation and optimal use of the genotype information provided by single-nucleotide polymorphism probes on an array depends largely on knowledge present in various resources. In addition to the availability of host laboratories? own datasets and national registries, there are several public databases and Internet resources with genotype and phenotype information that can be used for array data interpretation. With so many resources now available, it is important to know which are fit-for-purpose in a diagnostic setting. We summarize the characteristics of the most commonly used Internet databases and resources, and propose a general data interpretation strategy that can be used for comparative hybridization, comparative intensity, and genotype-based array data. äDiagnostic Interpretation of Array Data Using Public Databases and Int(epmc).pdf DeepDyve Pubget Overpricing