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

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.8K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.8K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

2.0K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Internal validation of the fully continuous model in EuroForMix for its implementation in routine forensic DNA profiling.

Forensic science international. Genetics·2026
Same author

Preimplantation genetic testing for aneuploidy mosaicism reporting lacks clinical predictive value for live birth in a multisite, double-blinded study with independent validation.

American journal of obstetrics and gynecology·2025
Same author

Effectiveness of duodenal bulb biopsies in histological diagnosis of coeliac disease.

European journal of pediatrics·2025
Same author

Evaluating the effect of marker panel sizes on estimation of bio-geographical co-ancestry proportions.

Forensic science international. Genetics·2025
Same author

Inter-platform evaluation of the MPSplex large-scale tri-allelic SNP panel for forensic identification.

Forensic science international. Genetics·2025
Same author

A CE-based mRNA profiling method including six targets to estimate the time since deposition of blood stains.

Forensic science international. Genetics·2025

Related Experiment Video

Updated: Mar 10, 2026

Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities
04:52

Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities

Published on: August 6, 2025

663

Improved deconvolution of sequenced based mixtures by extending EuroForMix.

Ø Bleka1, J González-Bao2, M de la Puente2

  • 1Department of Forensic Sciences, Oslo University Hospital, Norway.

Forensic Science International. Genetics
|March 9, 2026
PubMed
Summary
This summary is machine-generated.

We improved genotype prediction for unknown DNA contributors in mixture samples using marker amplification efficiency (MAE) in the EuroForMix model. This method enhances accuracy for Massively Parallel Sequencing data without needing external calibration.

Keywords:
DNA mixture deconvolutionMPSMarker amplification efficiencyVariational inference

More Related Videos

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis
08:22

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

Published on: October 27, 2020

4.3K
A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

627

Related Experiment Videos

Last Updated: Mar 10, 2026

Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities
04:52

Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities

Published on: August 6, 2025

663
Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis
08:22

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

Published on: October 27, 2020

4.3K
A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

627

Area of Science:

  • Forensic genetics
  • Computational biology
  • Statistical modeling

Background:

  • Accurate genotype prediction from DNA mixtures is crucial in forensics.
  • Massively Parallel Sequencing (MPS) generates complex mixture data.
  • Existing models like EuroForMix may require external calibration data.

Purpose of the Study:

  • To extend the EuroForMix model for improved genotype prediction in MPS mixture data.
  • To incorporate marker amplification efficiency (MAE) parameters directly into the model.
  • To eliminate the need for external calibration data by estimating MAE from the mixture profile itself.

Main Methods:

  • A two-step procedure was developed: 1. Estimate MAE from the mixture profile. 2. Use MAE estimates as fixed inputs in the extended EuroForMix model.
  • Four MAE estimation approaches were evaluated: two empirical and two Bayesian methods (using variational inference).
  • Predictive performance was assessed on five datasets (SNP, microhaplotype, STR, and CE-STR) using Brier score, accuracy, and calibration, including a high-certainty threshold (≥0.95).

Main Results:

  • MAE-based methods significantly improved genotype prediction compared to the default EuroForMix model, especially for MPS datasets.
  • Empirical MAE estimation yielded more decisive predictions and higher high-certainty coverage.
  • Bayesian MAE estimation provided more conservative and better-calibrated probabilities.
  • Improvement was modest for capillary electrophoresis STR data; the binned EuroForMix version was competitive for high-density SNP panels.

Conclusions:

  • Incorporating MAE parameters enhances genotype prediction accuracy in DNA mixture analysis, particularly for MPS data.
  • The two-step MAE estimation strategy offers a computationally tractable and effective alternative to fully joint inference.
  • Bayesian approaches for MAE estimation provide robust and well-calibrated predictions, while empirical methods offer higher certainty coverage.