Literature DB >> 20457112

Forensim: an open-source initiative for the evaluation of statistical methods in forensic genetics.

Hinda Haned1.   

Abstract

Forensim is a new package for the R statistical software that is dedicated to forensic DNA evidence interpretation. As far as we know, forensim is the first open-source tool that allows for the simulation of data encountered in forensic genetics studies. The package also implements common statistical methods used for reporting the weight of DNA evidence. Forensim is written in the R language and is freely available from http://forensim.r-forge.r-project.org. This paper presents an overview of the software's functionalities.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID： 20457112     DOI： 10.1016/j.fsigen.2010.03.017

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN： 1872-4973            Impact factor:   4.882


  12 in total

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2.  Evaluation of mixed-source, low-template DNA profiles in forensic science.

Authors:  David J Balding
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3.  The factor of 10 in forensic DNA match probabilities.

Authors:  Simone Gittelson; Tamyra R Moretti; Anthony J Onorato; Bruce Budowle; Bruce S Weir; John Buckleton
Journal:  Forensic Sci Int Genet       Date:  2017-02-16       Impact factor: 4.882

Review 4.  Separation/extraction, detection, and interpretation of DNA mixtures in forensic science (review).

Authors:  Ruiyang Tao; Shouyu Wang; Jiashuo Zhang; Jingyi Zhang; Zihao Yang; Xiang Sheng; Yiping Hou; Suhua Zhang; Chengtao Li
Journal:  Int J Legal Med       Date:  2018-05-25       Impact factor: 2.686

5.  Models and implementation for relationship problems with dropout.

Authors:  Guro Dørum; Daniel Kling; Carlos Baeza-Richer; Manuel García-Magariños; Solve Sæbø; Stijn Desmyter; Thore Egeland
Journal:  Int J Legal Med       Date:  2014-08-10       Impact factor: 2.686

6.  DNA commission of the International Society of Forensic Genetics: Recommendations on the evaluation of STR typing results that may include drop-out and/or drop-in using probabilistic methods.

Authors:  P Gill; L Gusmão; H Haned; W R Mayr; N Morling; W Parson; L Prieto; M Prinz; H Schneider; P M Schneider; B S Weir
Journal:  Forensic Sci Int Genet       Date:  2012-08-03       Impact factor: 4.882

7.  Comment on Kokshoorn, B, and Blankers, BJ 'Response to Grisedale, KS and van Daal, A: comparison of STR profiling from low template DNA extracts with and without the consensus profiling method'.

Authors:  Kelly Grisedale; Angela van Daal
Journal:  Investig Genet       Date:  2013-01-03

8.  Consensus and pool profiles to assist in the analysis and interpretation of complex low template DNA mixtures.

Authors:  Corina Benschop; Hinda Haned; Titia Sijen
Journal:  Int J Legal Med       Date:  2011-12-01       Impact factor: 2.686

9.  Lab Retriever: a software tool for calculating likelihood ratios incorporating a probability of drop-out for forensic DNA profiles.

Authors:  Keith Inman; Norah Rudin; Ken Cheng; Chris Robinson; Adam Kirschner; Luke Inman-Semerau; Kirk E Lohmueller
Journal:  BMC Bioinformatics       Date:  2015-09-18       Impact factor: 3.169

10.  Current developments in forensic interpretation of mixed DNA samples (Review).

Authors:  Na Hu; Bin Cong; Shujin Li; Chunling Ma; Lihong Fu; Xiaojing Zhang
Journal:  Biomed Rep       Date:  2014-01-28
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