Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

2.0K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
2.0K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.4K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.4K
Method of Sections: Problem Solving II01:30

Method of Sections: Problem Solving II

1.2K
Consider an arbitrary truss structure composed of diagonal, vertical, and horizontal members fixed to the wall. To calculate the force acting on members CB, GB, and GH, method of sections can be used. The loads and lengths of the horizontal and vertical members are known parameters, as shown in the figure.
1.2K
Interpreting Run Charts01:25

Interpreting Run Charts

2.3K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
2.3K
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.0K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.0K
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

316
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
316

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame journal

Quo vadis, BGA? A collaborative EDNAP exercise on the challenges and progress in forensic biogeographical ancestry inference.

Forensic science international. Genetics·2026
Same author

Advancing justice: Insights from exceptional cases.

Forensic science international. Genetics·2026
Same author

Reduced amplification and amplicon dropout in PCR-based mitochondrial DNA massively parallel sequencing kits.

Forensic science international. Genetics·2026
Same author

MitoFREQ: A novel approach for mitogenome frequency estimation from top-level haplogroups and single nucleotide variants.

Forensic science international. Genetics·2026
Same author

Advancing forensic SNP typing: Insights from an interlaboratory study of the FORCE panel.

Forensic science international. Genetics·2026
Same author

Multimodal imaging and molecular analysis of a 350-year-old purple heron mummy.

Scientific reports·2026

Related Experiment Video

Updated: Sep 12, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.5K

TrACE - Trace analysis collaborative exercise: A transparent, expert driven concept of proficiency tests.

Marielle Vennemann1, Hannah Bauer1, Katja Anslinger2

  • 1Institute of Legal Medicine, University of Münster, Röntgenstr. 23, Münster 48149, Germany.

Forensic Science International. Genetics
|August 9, 2025
PubMed
Summary

Trace Analysis Collaborative Exercise (TrACE) offers expert-driven quality control in forensic genetics through proficiency testing and interlaboratory comparisons. It covers all aspects of casework, from basic analysis to advanced methods like probabilistic genotyping.

Keywords:
German Stain CommissionInter-laboratory ComparisonProficiency TestQuality ControlTrace Analysis

More Related Videos

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

910
Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step
07:19

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step

Published on: June 16, 2021

2.7K

Related Experiment Videos

Last Updated: Sep 12, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.5K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

910
Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step
07:19

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step

Published on: June 16, 2021

2.7K

Area of Science:

  • Forensic Genetics
  • Quality Control
  • External Assessment

Background:

  • External quality control is crucial for forensic genetics laboratories.
  • Standardized proficiency testing ensures reliable casework analysis.
  • The German Stain Commission recommends rigorous testing protocols.

Purpose of the Study:

  • Introduce Trace Analysis Collaborative Exercise (TrACE) as a novel quality control concept.
  • Detail the structure and scope of TrACE modules for forensic genetics.
  • Highlight TrACE's adherence to international standards like DIN EN ISO 17025.

Main Methods:

  • TrACE combines proficiency testing and interlaboratory comparisons.
  • Modules cover physical examination, body fluid ID, DNA extraction, STR and mtDNA analysis.
  • Advanced modules include probabilistic genotyping and forensic DNA phenotyping (FDP).

Main Results:

  • TrACE provides comprehensive modules for forensic genetics casework challenges.
  • Expert coordination ensures high-quality, relevant testing.
  • The scheme is an official proficiency test for the German Stain Commission.

Conclusions:

  • TrACE offers a transparent, expert-driven external quality control system.
  • It addresses diverse forensic genetics needs from basic to advanced techniques.
  • TrACE supports laboratories in meeting rigorous casework standards.