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Sequencing of 231 forensic genetic markers using the MiSeq FGxTM forensic genomics system-an evaluation of the assay and software

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Forensic Sciences Research 2018年第2期3卷 111-123页

作者： Christian Hussing Christina Huber rajmonda bytyci Helle S.Mogensen Niels Morling Claus Bφrsting Section of Forensic Genetics Department of Forensic MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark

The MiSeq FGx^(TM) Forensic Genomics System types 231 genetic markers in one multiplex polymerase chain reaction (PCR) *** markers include core forensic short tandem repeats (STRs) as well as identity,ancestry and phenotype informative short nucleotide polymorphisms (SNPs).In this work,the MiSeq FGx^(TM) Forensic Genomics System was evaluated by analysing reproducibility,sensitivity,mixture identification and forensic phenotyping capabilities of the ***,the genotype calling of the ForenSeq^(TM) Universal Analysis Software was verified by analysing *** files from the MiSeq FGx^(TM) platform using the softwares STRinNGS and ***,the performance of the MiSeq FGx^(TM) Forensic Genomics System was ***,locus and allele drop-outs were relatively frequent at six loci (two STRs and four human identification SNPs) due to low read depth or skewed heterozygote balances,and the stutter ratios were larger than those observed with conventional STR genotyping *** risk of locus and allele drop-outs increased dramatically when the amount of DNA in the first PCR was lower than 250 ***-person 50∶1 mixtures were identified as mixtures,whereas 100∶1 and 1000∶1 mixtures were not.Y-chromosomal short tandem repeats (Y-STRs) alleles were detected in the 100∶1 and 1000∶1 female/male *** ForenSeq^(TM) Universal Analysis Software provided the data analyst with useful alerts that simplified the analysis of the large number of *** of the alerts were due to user-defined,locus-specific *** results shown here indicated that the default settings should be altered for some ***,recommended changes to the assay and software are discussed.

关键词： Forensic science forensic genetics next generation sequencing short tandem repeats single nucleotide polymorphisms ForenSeq^(TM)DNA Signature Prep Kit MiSeq FGx^(TM)Forensic Genomics System

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Hybrid Dissolved Gas-in-Oil Analysis Methods

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Journal of Power and Energy Engineering 2015年第6期3卷 10-19页

作者： Leonidha Londo rajmonda Bualoti Marialis Celo Nako Hobdari Transmission System Operator TiranaAlbania Electric Engineering Faculty Polytechnic University of TiranaTiranaAlbania

Dissolved gas analysis is the most widely used diagnostic test in power transformers. The aim of this paper is to introduce the dissolved gas analysis (DGA) methods able to diagnose the transformer conditions. The faults cause the transformer oil, pressboard, and other insulating materials to decompose and generate gases, some of which dissolve in the oil. The results of DGA must be accurate if faults are to be diagnosed reliably. There are different established methods used in industry for interpreting DGA results. We will compare the result of IEEE Key Gas Methods and Rogers’ Ratios. The transformer conditions are evaluated by the Key Gas Method with total combustible gas method (TCGM) and then verified by the Rogers’ Ratios. As result, the aging pattern and trend of the power transformer deterioration can be determined. The 30 sample data from IEEE with known faults and dissolved gas concentrations were used as the basis of comparison.

关键词： Dissolved Gas Analysis Key Gas Methods Rogers’Ratios Transformer

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