isomiRs were identified from the known hairpin sequences in miRBase. A sequential alignment strategy was used to map sequences on several databases: reference GRCh38 human genome was used, miRBase v.22.1 was considered the first annotation model ( 14), and sequences were collected as mature miRNAs. An sncRNA quantification pipeline was set up with the same parameters and features for both of the tools. These bioinformatics tools provide specific pipelines for sncRNA analysis.
#Clc genomics workbench 2. not working software#
In this study, two different bioinformatics tools were compared to evaluate their sensitivity and accuracy in detecting and quantifying sncRNAs: Partek Flow software (Partek, Chesterfield, MO) and CLC Genomics Workbench 21.0.3 (Qiagen). Although ultrasonography is the easiest approach to define plaque structure, the importance of these observations is threefold: 1) there is a consistent heterogeneity in the pathophysiology of plaque formation, composition, and progression 2) some yet-unknown factors are operative in the development/prevention of macrovascular disease in patients with T1D ( 8) and 3) there is the need to recognize markers that can identify patients at risk for developing macrovascular complications and the type of atherothrombotic plaque.
Few studies have investigated carotid plaque composition in individuals with T1D, who are more prone to developing echogenic and extensively calcified plaques than in subjects without diabetes ( 7). We and others have demonstrated that individuals with type 2 diabetes and echogenic plaques are at a higher risk of cardiovascular events than those with echolucent plaques ( 4, 5) however, echolucent plaques seem better predictors of incident cerebrovascular events ( 6).
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