STRAF-A convenient online tool for STR data evaluation in forensic genetics.

Gouy, Alexandre; Zieger, Martin (2017). STRAF-A convenient online tool for STR data evaluation in forensic genetics. Forensic science international. Genetics, 30, pp. 148-151. Elsevier 10.1016/j.fsigen.2017.07.007

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Population data in forensic genetics has to be checked for a variety of statistical parameters before it can be employed for case work. A lot of very powerful statistical tools are available for this task, most of them developed by labs having their research focus on population genetics or evolution. However, most of these programs require a substantial amount of experience. In addition, to our knowledge, none of the freely available programs calculates all the common parameters for a population study in forensic genetics at once, based on a single input file. We present here a convenient online tool that fills this gap. STRAF (STR Analysis for Forensics) provides an intuitive interface and input file format and computes all the relevant parameters for a classical population study based on autosomal STR data at once and in a convenient way. In addition, STRAF includes a PCA module that can be used for population substructure detection or quality control. The results generated by the program were verified by recalculating parameters from an already published population study.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)
04 Faculty of Medicine > Service Sector > Institute of Legal Medicine
04 Faculty of Medicine > Service Sector > Institute of Legal Medicine > Forensic Molecular Biology

UniBE Contributor:

Gouy, Alexandre Pierre and Zieger, Martin

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

1872-4973

Publisher:

Elsevier

Language:

English

Submitter:

Antoinette Angehrn

Date Deposited:

17 Oct 2017 10:21

Last Modified:

26 Jul 2018 10:32

Publisher DOI:

10.1016/j.fsigen.2017.07.007

PubMed ID:

28743032

Uncontrolled Keywords:

Data analysis Population STR Software Statistics

BORIS DOI:

10.7892/boris.105102

URI:

https://boris.unibe.ch/id/eprint/105102

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