Search research articles

Related Concept Videos

Modern Molecular Taxonomy

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

You might also read

Related Articles

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

Sort by

Same author

Characterization of the gut microbiome of wild <i>Peromyscus sonoriensis</i> in New Mexico, USA.

Frontiers in microbiomes·2026

Same author

Construction and evaluation of an engineered autonomously lysing Salmonella system coupled with self-assembled nanoparticles as a vaccine platform for antigen delivery.

Journal of nanobiotechnology·2026

Same author

Interleukin-18 as a Potential Biomarker for Radiotherapy-Related Pain in Breast Cancer: Implications for Personalized Pain Management.

Cancers·2026

Same author

ImmuSeeker: deep mining of immune-related gene family signatures through lineage reconstruction.

Genome biology·2026

Same author

Phloretin targeting the 3CLpro Cys144 exhibits broad-spectrum antiviral activity against swine enteric coronavirus.

Virologica Sinica·2026

Same author

Wastewater SARS-CoV-2 and COVID-19 Hospital Admission and Mortality - A Controlled Experimental Study.

medRxiv : the preprint server for health sciences·2026

Same journal

Characterisation of the Novel HLA-DRB3*01:01:27 Allele Using Third-Generation Sequencing Methods.

HLA·2026

Same journal

The Novel Allele, HLA-C*14:167, With a Non-Synonymous Mutation in Exon 1.

HLA·2026

Same journal

Impact of Excluding Anti-HLA-C and -DP Antibodies From the Allocation System on Kidney Transplant Access.

HLA·2026

Same journal

Resolution-Aware Eight-Locus HLA Diversity Profiling and Rare Allele Interpretation in an Eastern Chinese Transplant-Typing Cohort.

HLA·2026

Same journal

Value of Genetically Rare Cord Blood Units Beyond Conventional Quality Metrics.

HLA·2026

Same journal

Characterisation of the Novel HLA-B*07:05:15 Allele by Sequencing-Based Typing.

HLA·2026

See all related 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

Search research articles

Related Experiment Video

Updated: May 12, 2026

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Published on: March 24, 2015

Comprehensive Profiling of Computational Techniques for Sequencing-Based HLA Immune Signatures Extraction.

Limin Jiang¹, Steven F Baker^2,3, Michele Ceccarelil¹

¹Department of Public Health and Sciences, University of Miami, Miami, Florida, USA.

|February 17, 2025

Summary

This summary is machine-generated.

This study evaluates 27 computational Human Leukocyte Antigen (HLA) typing tools, identifying key challenges and performance metrics. It offers insights into current tool limitations and future research directions for advancing HLA typing technologies.

More Related Videos

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

Related Experiment Videos

Last Updated: May 12, 2026

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Published on: March 24, 2015

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

Area of Science:

Genomics
Immunogenetics
Bioinformatics

Background:

Human Leukocyte Antigen (HLA) typing is essential for transplantation, disease association studies, and personalized medicine.
Computational methods for HLA typing face challenges like high polymorphism, sequence similarity, and varying data lengths.
Accurate and efficient HLA typing is critical for advancing clinical and research applications.

Purpose of the Study:

To comprehensively analyze the performance and characteristics of 27 computational HLA typing tools.
To evaluate these tools based on accessibility, capability, reliability, reproducibility, scalability, and performance.
To identify key challenges and future research directions in computational HLA typing.

Main Methods:

Evaluation of 27 computational HLA typing tools developed over the last 12 years.
Utilized a novel dataset comprising matched short-read RNA-Seq and long-read Iso-Seq data from A549 cell lines.
Assessed tools against five key challenges: varying lengths, high polymorphism, complex phylogenetic structures, high sequence similarity, and frequent updates.

Main Results:

Detailed performance metrics for each of the 27 evaluated HLA typing tools.
Comparative analysis highlighting the strengths and weaknesses of current computational HLA typing methods.
Identification of specific challenges encountered by different tools in handling complex HLA data.

Conclusions:

The study provides a critical assessment of the current landscape of computational HLA typing tools.
Highlights the need for improved tool development to address existing limitations in accuracy, reliability, and scalability.
Offers a roadmap for future research to enhance the capabilities of HLA typing technologies for clinical and research use.