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 Experiment Videos

Fcodes update: a kinship encoding framework with F-Tree GUI & LLM inference.

Daniel Pérez-Rodríguez1,2, Roberto C Agís-Balboa3,4,5, Hugo López-Fernández6

  • 1Dept. of Telematics Engineering, ESEI-Escuela Superior de Ingeniería Informática, Universidade de Vigo, 32004 Ourense, Spain.

Journal of Integrative Bioinformatics
|March 28, 2025
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

PolyDeep Advance 3: Randomized Clinical Trial comparing PolyDeep-assisted and conventional colonoscopy for adenoma detection rate in a colorectal cancer screening program.

Endoscopy·2026
Same authorSame journal

Updates and validation of the Compi RNA-seq pipeline with a case study in Alzheimer's disease.

Journal of integrative bioinformatics·2026
Same author

PIBAdb: a public cohort of multimodal colonoscopy videos and images including polyps with histological information.

Computer methods and programs in biomedicine·2026
Same author

Clinical Evaluation of PolyDeep, A Computer-Aided Detection System: A Multicenter Randomized Tandem Colonoscopy Trial.

Diagnostics (Basel, Switzerland)·2025
Same author

Towards a more accurate and reliable evaluation of machine learning protein-protein interaction prediction model performance in the presence of unavoidable dataset biases.

Journal of integrative bioinformatics·2025
Same author

PolyDeep Advance 1: Clinical Validation of a Computer-Aided Detection System for Colorectal Polyp Detection with a Second Observer Design.

Diagnostics (Basel, Switzerland)·2025
Same journal

Fragment-level FAIRness: annotating scientific data and its provenance using data fragment selectors.

Journal of integrative bioinformatics·2026
Same journal

Integrating cross-omics research through FAIR Digital Objects with DataPLANT.

Journal of integrative bioinformatics·2026
Same journal

Pheno-App 2.0 - a mobile app for collecting phenotypic data in plant research.

Journal of integrative bioinformatics·2026
Same journal

Evolving bioinformatics services - the journey of KPI metrics with Scorpion.

Journal of integrative bioinformatics·2026
Same journal

The community engagement and empowerment cycle: FAIRagro's framework to foster cultural change towards FAIR RDM practices in agrosystem science and beyond.

Journal of integrative bioinformatics·2026
See all related articles
This summary is machine-generated.

This study enhances Fcodes, an intuitive kinship encoding algorithm, for better family relationship analysis. Improvements include a graphical user interface (GUI) and artificial intelligence (AI) integration for diverse research applications.

Area of Science:

  • Family studies
  • Computational sociology
  • Bioinformatics

Background:

  • Traditional genealogical systems (Ahnentafel, Register System) have limitations in representing complex family structures and dynamic data.
  • Existing computational tools (LINKAGE, PED) are often unreadable and difficult to use with narrative data common in social sciences and mental health.
  • There is a need for a flexible, human-readable, and computationally efficient method for encoding kinship relationships.

Purpose of the Study:

  • To enhance the Fcodes algorithm for improved encoding of kinship relationships.
  • To develop user-friendly interfaces (CLI and GUI) for the Fcodes system.
  • To explore advanced applications of Fcodes, including inbreeding coefficient estimation and AI-driven relationship inference.

Main Methods:

Keywords:
coefficient of inbreedingcomputational anthropologydata encodingfamily structuresgenealogy

Related Experiment Videos

  • Improvements to the core Fcodes algorithm and command-line interface (CLI).
  • Development of F-Tree, a new graphical user interface (GUI) for streamlined data encoding.
  • Implementation of a method for estimating the coefficient of inbreeding using Fcodes.
  • Exploration of large language models (LLMs) for automatic family relationship inference from narrative text.

Main Results:

  • Enhanced Fcodes algorithm and user interfaces (CLI/GUI) offer a more flexible and intuitive approach to kinship encoding.
  • The developed method allows for the estimation of the coefficient of inbreeding.
  • Artificial intelligence, specifically LLMs, demonstrates potential for inferring family relationships from unstructured text data.

Conclusions:

  • The enhanced Fcodes system provides a versatile tool for representing and analyzing family structures across various disciplines.
  • The integration of GUI and AI capabilities expands the applicability of Fcodes in social studies, genetics, and mental health research.
  • These advancements facilitate more comprehensive and accessible family relationship analysis in both manual and computational contexts.