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

Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

343
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
343
Discrete Fourier Transform01:15

Discrete Fourier Transform

391
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
391
Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

1.4K
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
1.4K
Stream Function01:20

Stream Function

1.6K
In two-dimensional incompressible fluid flow, the continuity equation is essential for ensuring mass conservation, meaning that any change in fluid entering or exiting a region is balanced by a corresponding change elsewhere. For incompressible flow, where density remains constant, this requirement simplifies to the condition that the divergence of the velocity field must be zero. Mathematically, this is expressed as,
1.6K
Fast Fourier Transform01:10

Fast Fourier Transform

444
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
444
Relation of DFT to z-Transform01:20

Relation of DFT to z-Transform

466
The Discrete Fourier Transform (DFT) is a crucial tool for analyzing the frequency content of discrete-time signals. It converts a sequence of N samples from the time domain into its corresponding sequence in the frequency domain, where each sample represents a specific frequency component.
To understand how the DFT works, it's helpful to consider the z-transform, which is a method for representing discrete sequences in the complex frequency domain. The z-transform involves summing the...
466

You might also read

Related Articles

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

Sort by
Same author

Novel Y-STRs with elevated mutation rates further improve male relative differentiation.

Forensic science international. Genetics·2026
Same author

MitoMetrics: Incorporation of mtDNA profile discrepancies in likelihood ratio calculations.

Forensic science international. Genetics·2026
Same author

From cold case to conviction: How advanced DNA technologies such as mtDNA sequencing connected two brutal homicides.

Forensic science international. Genetics·2025
Same author

Linking STRs/SNPs and DNA methylation using massively parallel sequencing for potential forensic applications.

International journal of legal medicine·2025
Same author

DNA methylation-based forensic framework for age prediction and body fluid identification using nanopore sequencing.

Forensic science international. Genetics·2025
Same author

Inter-laboratory evaluation of the VISAGE enhanced tool and models for age estimation from blood and buccal cells.

Forensic science international. Genetics·2025
Same journal

Quantitative DNA/RNA fragmentation assays for estimating the time since deposition (TsD) of bloodstains.

Forensic science international. Genetics·2026
Same journal

Ensaya: An ensemble age model for prediction of chronological age in adolescents and young adults.

Forensic science international. Genetics·2026
Same journal

Comparison of key diagnostics for probabilistic interpretation of STR mixture data generated with length-based and MPS methodologies.

Forensic science international. Genetics·2026
Same journal

Likelihood Ratios Given Activity-Level Propositions for DNA Transfer Evidence: Theoretical Foundations of the HaloGen Framework (Part I).

Forensic science international. Genetics·2026
Same journal

Likelihood Ratios Given Activity-Level Propositions for DNA Transfer Evidence: Practical Implementation and Simulation Studies Using the HaloGen Engine (Part II).

Forensic science international. Genetics·2026
Same journal

Forensic evaluation of 101 identity-informative SNPs in a Filipino population using massively parallel sequencing.

Forensic science international. Genetics·2026
See all related articles

Related Experiment Video

Updated: Aug 31, 2025

Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
08:43

Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM

Published on: June 24, 2017

7.5K

Advancing FDSTools by integrating STRNaming 1.1.

Jerry Hoogenboom1, N Weiler1, L Busscher1

  • 1Division of Biological Traces, Netherlands Forensic Institute, The Hague, the Netherlands.

Forensic Science International. Genetics
|August 22, 2022
PubMed
Summary
This summary is machine-generated.

This study validates FDSTools 2.0 and STRNaming for forensic DNA analysis using the ForenSeq DNA Signature Prep (DSP) kit. The updated software improves automatic allele calling and handles novel variants for reliable forensic genetic analysis.

Keywords:
FDSToolsForenSeqMPSNomenclatureSTRSTRNaming

More Related Videos

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
14:03

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish

Published on: December 5, 2013

11.1K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

5.9K

Related Experiment Videos

Last Updated: Aug 31, 2025

Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
08:43

Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM

Published on: June 24, 2017

7.5K
Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
14:03

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish

Published on: December 5, 2013

11.1K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

5.9K

Area of Science:

  • Forensic Science
  • Genetics
  • Molecular Biology

Background:

  • Massively parallel sequencing (MPS) has advanced forensic DNA analysis.
  • Commercial kits, software, and nomenclature tools like ForenSeq DNA Signature Prep (DSP) kit, FDSTools, and STRNaming facilitate MPS implementation.
  • ISO 17025 accreditation is crucial for reliable forensic laboratory operations.

Purpose of the Study:

  • To validate FDSTools 2.0 with integrated STRNaming for the ForenSeq DSP kit under ISO 17025 accreditation.
  • To enhance the efficiency and accuracy of allele calling for forensic DNA profiles.
  • To address challenges with novel sequence variants and PCR-induced noise in MPS data.

Main Methods:

  • Validation of FDSTools 2.0 and STRNaming for the ForenSeq DSP kit.
  • Implementation of newly-added options for automatic allele calling.
  • Application of specific settings for 'novel' sequence variants.
  • Utilisation of genome-wide built-in reference data for human targets.

Main Results:

  • Successful validation of FDSTools 2.0 and STRNaming for ISO 17025 accredited forensic use.
  • Efficient automatic allele calling achieved for the majority of short tandem repeat (STR) markers.
  • Effective management of variable noise from 'novel' sequence variants observed in PCR.
  • Simplified configuration of allele naming for human targets due to comprehensive reference data.

Conclusions:

  • FDSTools 2.0 with refined STRNaming is validated for ISO 17025 accredited forensic analysis with the ForenSeq DSP kit.
  • The updated software enhances the reliability and efficiency of forensic genetic profiling.
  • The system effectively addresses challenges in allele calling, particularly for novel variants, improving data quality in forensic investigations.