Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Detection of Gross Error: The Q Test

Detection of Gross Error: The Q Test

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...

You might also read

Related Articles

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

Sort by

Same author

Climate-driven in-situ trait variation in an annual ruderal grass across Europe.

Annals of botany·2026

Same author

Metabolic disease variants rewire gene regulation through disruption of DNA G-quadruplex structures.

Genome biology·2026

Same author

Creatine kinase B, a downstream effector of c-Myb, controls migration of osteosarcoma cells via regulation of N-cadherin.

Cancer cell international·2025

Same author

Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning.

BioData mining·2024

Same author

Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning.

BioData mining·2024

Same author

A perspective on genetic and polygenic risk scores-advances and limitations and overview of associated tools.

Briefings in bioinformatics·2024

Same journal

Probabilistic RNA designability via interpretable ensemble approximation and dynamic decomposition.

Bioinformatics (Oxford, England)·2026

Same journal

Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.

Bioinformatics (Oxford, England)·2026

Same journal

GATSBI: improving context-aware protein embeddings through biologically motivated data splits.

Bioinformatics (Oxford, England)·2026

Same journal

BiMba: using Vision Mamba to predict protein sites that bind other proteins.

Bioinformatics (Oxford, England)·2026

Same journal

ProMeta: a meta-learning framework for robust disease diagnosis and prediction from plasma proteomics.

Bioinformatics (Oxford, England)·2026

Same journal

Is a Win-Win possible? Achieving pareto-optimal privacy-utility balance in fine-tuned genome language model embeddings against embedding reconstruction attacks.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 2, 2026

Author Spotlight: Characterizing DNA G-Quadruplex by Bis-3-Chloropiperidine Based Chemical Mapping

Author Spotlight: Characterizing DNA G-Quadruplex by Bis-3-Chloropiperidine Based Chemical Mapping

Published on: May 12, 2023

pqsfinder web: G-quadruplex prediction using optimized pqsfinder algorithm.

Dominika Labudová¹, Jiří Hon¹, Matej Lexa^2,3

¹IT4Innovations Centre of Excellence, Faculty of Information Technology, Brno University of Technology, Brno 61266, Czech Republic.

Bioinformatics (Oxford, England)

|December 13, 2019

Summary

This summary is machine-generated.

The pqsfinder algorithm for G-quadruplex identification has been optimized for speed and user-friendliness. A new website allows R-free sequence analysis, improving accessibility for G-quadruplex research.

More Related Videos

Single-molecule Manipulation of G-quadruplexes by Magnetic Tweezers

Single-molecule Manipulation of G-quadruplexes by Magnetic Tweezers

Published on: September 19, 2017

Single-Molecule Fluorescence Visualization of DNA Polymerase Dynamics at G-Quadruplexes

Single-Molecule Fluorescence Visualization of DNA Polymerase Dynamics at G-Quadruplexes

Published on: April 4, 2025

Related Experiment Videos

Last Updated: Jan 2, 2026

Author Spotlight: Characterizing DNA G-Quadruplex by Bis-3-Chloropiperidine Based Chemical Mapping

Author Spotlight: Characterizing DNA G-Quadruplex by Bis-3-Chloropiperidine Based Chemical Mapping

Published on: May 12, 2023

Single-molecule Manipulation of G-quadruplexes by Magnetic Tweezers

Single-molecule Manipulation of G-quadruplexes by Magnetic Tweezers

Published on: September 19, 2017

Single-Molecule Fluorescence Visualization of DNA Polymerase Dynamics at G-Quadruplexes

Single-Molecule Fluorescence Visualization of DNA Polymerase Dynamics at G-Quadruplexes

Published on: April 4, 2025

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

G-quadruplexes are crucial DNA/RNA structures involved in genome regulation.
In vitro detection methods exist, but in vivo detection remains challenging.
The pqsfinder algorithm aids in identifying G-quadruplexes.

Purpose of the Study:

To optimize the pqsfinder algorithm for enhanced speed and user experience.
To broaden the accessibility of G-quadruplex sequence analysis tools.

Main Methods:

Modified the recursive algorithm to eliminate suboptimal G-quadruplex (G4) conformation scoring.
Developed a user-friendly website for sequence analysis, eliminating the need for R programming knowledge.

Main Results:

Optimized pqsfinder offers faster and more efficient G-quadruplex identification.
The new web interface significantly improves usability for a wider audience.

Conclusions:

The optimized pqsfinder and its web interface enhance G-quadruplex research accessibility.
These improvements facilitate the study of G-quadruplexes in genomic contexts.