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

You might also read

Related Articles

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

Sort by

Same author

Breast Cancer, Version 4.2026, NCCN Clinical Practice Guidelines In Oncology.

Journal of the National Comprehensive Cancer Network : JNCCN·2026

Same author

Retraction Note: Heterozygous deletion of chromosome 17p renders prostate cancer vulnerable to inhibition of RNA polymerase II.

Nature communications·2026

Same author

Differential impact of proton pump inhibitors and antibiotics on immunotherapy efficacy after chemoradiotherapy in locally advanced non-small-cell lung cancer: a post-hoc analysis of the PACIFIC trial.

The Lancet. Oncology·2026

Same author

Neurofilament Light Chain: A Potential Biomarker for Chemotherapy-Induced Peripheral Neuropathy in Adolescent Young Adults.

Journal of adolescent and young adult oncology·2026

Same author

Exploring Loneliness, Social Factors, and Clinical Correlates of C-reactive Protein in African American Breast Cancer Survivors.

Journal of racial and ethnic health disparities·2026

Same author

The Oncology Research Information Exchange Network (ORIEN) - Building a Real-World Collaborative, Patient-driven Infrastructure for Discovery Research and Precision Oncology.

Research square·2026

Search research articles

Related Experiment Video

Updated: Jan 17, 2026

Characterizing Mutational Load and Clonal Composition of Human Blood

Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

qcCHIP: an R package to identify clonal hematopoiesis variants using cohort-specific data characteristics.

Xiang Liu¹, Yi-Han Tang^1,2, James Blachly³

¹Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States.

Bioinformatics (Oxford, England)

|September 19, 2025

Summary

Clonal hematopoiesis (CH) detection is improved with the new qcCHIP R package. This bioinformatics tool optimizes quality control for accurate CH identification across diverse datasets and cancer types.

More Related Videos

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Clonal Analysis of Embryonic Hematopoietic Stem Cell Precursors Using Single Cell Index Sorting Combined with Endothelial Cell Niche Co-culture

Clonal Analysis of Embryonic Hematopoietic Stem Cell Precursors Using Single Cell Index Sorting Combined with Endothelial Cell Niche Co-culture

Published on: May 8, 2018

Related Experiment Videos

Last Updated: Jan 17, 2026

Characterizing Mutational Load and Clonal Composition of Human Blood

Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Clonal Analysis of Embryonic Hematopoietic Stem Cell Precursors Using Single Cell Index Sorting Combined with Endothelial Cell Niche Co-culture

Clonal Analysis of Embryonic Hematopoietic Stem Cell Precursors Using Single Cell Index Sorting Combined with Endothelial Cell Niche Co-culture

Published on: May 8, 2018

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Clonal hematopoiesis (CH) serves as a molecular biomarker linked to adverse health outcomes in both healthy individuals and those with existing conditions, including cancer.
Current methods for CH detection rely on genomic sequencing and extensive bioinformatics data filtering.

Purpose of the Study:

To introduce qcCHIP, an R package designed as a bioinformatics pipeline for enhanced CH detection.
To implement permutation-based parameter optimization for quality control and cohort-specific CH identification.

Main Methods:

The qcCHIP R package utilizes permutation-based parameter optimization.
The pipeline is designed for quality control filtering and identifying clonal hematopoiesis within specific cohorts.

Main Results:

qcCHIP was benchmarked across various data settings, including different sequencing depths and cohort sizes.
Performance was evaluated with and without normal-tumor paired samples and across diverse cancer types.

Conclusions:

qcCHIP enables customized analysis for CH detection based on specific cohort data characteristics.
The R package facilitates robust and adaptable identification of clonal hematopoiesis.