Contamination monitoring in the forensic DNA laboratory and a simple graphical model for unbiased EPG classification

Autor:	Pernilla Digréus, Ricky Ansell, Ann-Christin Andersson, Anders Nordgaard
Rok vydání:	2011
Předmět:	Computer science Sampling (statistics) Contamination computer.software_genre Bioinformatics Pathology and Forensic Medicine Electropherogram Forensic dna DNA profiling Ranking Simple (abstract algebra) Genetics Graphical model Data mining computer
Zdroj:	Forensic Science International: Genetics Supplement Series. 3:e299-e300
ISSN:	1875-1768
DOI:	10.1016/j.fsigss.2011.09.012
Popis:	Monitoring presence and level of background DNA in forensic DNA laboratory environments can be used to control work routines and cleaning procedures and to follow changes in these, as well as being an indicator for increased/decreased contamination risk. Previous monitoring routines as sampling and interpretation have not been standardised, making it difficult to compare between different sampling events and observe potential trends. Factor analysis was used to generate a simple graphical classification model for unbiased ranking of electropherograms, which can be modified according to user's need, taking into account number of detected alleles, markers and peak height.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5c8aabe62cfe9b70d4802dffc921dc86 https://doi.org/10.1016/j.fsigss.2011.09.012 Zobrazit plný text záznamu Full Text from ScienceDirect