STRAF is a browser-based application that allows to perform forensics and population genetics analysis of STR data.
Click on the image below to access our online book with a lot more details about the software!
STRAF accepts tab delimited txt-tables containing genotypes.
This format is designed to facilitate the input file generation from a typical Excel file (Save as > Text (Tab-delimited) (*.txt)).
Examples of diploid and haploid input files can be downloaded using the following links:
Download STRAF diploid example file.
Download STRAF haploid example file.
STRAF computes standard forensics parameters. Some standard population genetics analysis can be achieved if the samples are assigned to different populations. STRAF generates downloadable tables, and plots can be personnalized (using the Graphical parameters section on the left panel) before saving them. Details about the methods can be found in Gouy & Zieger (2017).
Use the left panel to choose and upload your file. If no error appear once the file is uploaded, three tabs appear on the right page: Data, Forensics analysis and Population genetics analysis.
On the Data tab, three checkboxes allow to 1. display the dataset, 2. plot the distribution of alleles frequencies per locus, and 3. display a table of allele frequencies. This table is formatted as in most forensics data reports (rows = alleles; columns = loci). You can download this table as a TSV file readable in Excel by clicking the Download button.
On the Forensics analysis tab, you can compute all the standard forensics parameters for your dataset. You can download the table and plot the results.
On the Population genetics analysis tab, standard population genetics statistics can be computed (F-statistics, HWE, LD, ...). A PCA can also be performed to study population structure or discover outliers.
Please cite STRAF if you use it for your project using the following reference:
Gouy, A., & Zieger, M. (2017). STRAF - A convenient online tool for STR data evaluation in forensic genetics. Forensic Science International: Genetics, 30, 148-151.
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