All current applications, are command-line based and are thus not well suited to be used by forensic analysts
that do not have extensive bioinformatics experience. In this report, we present the MyFLq application that we developed into an open-source, web-based application with a user-friendly graphical user interface. Additional features were implemented such as an interactive graphical report of the results, an interactive threshold selection bar, and an allele length-based analysis in addition to the sequenced-based analysis. MyFLq has been implemented both as a Django web application [10] and an Illumina BaseSpace application. Both implementations run from the same source code and users have access to the latest stable version, mTOR inhibitor no matter the execution preference of the application. The BaseSpace MyFLq application
requires no installation from the user. For the Django application, detailed documentation can be found on the MyFLq GitHub repository (https://github.com/beukueb/myflq). A pdf manual can be downloaded from https://gitprint.com/beukueb/myflq, covering both implementations. The development version and previous builds are only available for the Django application. The same data were used as in the MyFLq framework paper [9]. The results presented in this report were obtained with sample 9947A_S1, which is a single contributor control DNA sample (Promega) [11]. This sample was amplified using a 16-plex PCR, based on the PowerPlex® 16 primers (Promega) [12]. check details The reference profile for 9947A with the 16-plex is shown in Supplementary Table A.1. The MyFLq framework paper [9] also analyzed a second single contributor sample and two multiple person mixtures. Results for these samples are
available on BaseSpace, together with the FASTQ data for anyone wishing to experiment with MyFLq. To produce the results for this report, MyFLq was launched from http://basespace.illumina.com/apps. A threshold of 0.5% was set to filter read groups with a lower abundance for further analysis. The loci set and the allele database were set to the MyFLq framework paper options, as shown in Fig. 2. The database contained all the 3-oxoacyl-(acyl-carrier-protein) reductase alleles from the framework paper’s four DNA samples, including sample 9947A [9]. The database consists of all sequences of the Powerplex® 16 alleles present in these four samples. For the other options the default values were used. Detailed information on these settings can be found in Supplementary Table A.2 or the online documentation. A BaseSpace project “FSIG” was made to which the results could be saved. Finally, the analysis was launched by clicking “Continue”. Fig. 3a shows the analysis result page, that can be found under the project folder where the analysis was saved. The initial display shows an interactive visual representation that should be interpreted as a sequence-based analysis rather than a length-based analysis.