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

RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...
Introduction to R01:11

Introduction to R

R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's functionality,...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

You might also read

Related Articles

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

Sort by
Same author

Clinical validation of an HPV whole-genome sequencing assay for MRD detection in patients with HPV+ head and neck cancer treated with surgery.

Science translational medicine·2026
Same author

Human and viral whole genome sequencing identify HPV and APOBEC as oncogenic drivers in sinonasal squamous cell carcinoma.

medRxiv : the preprint server for health sciences·2026
Same author

Meta-analysis of 22,710 human microbiome metagenomes defines an oral-to-gut microbial enrichment score and associations with host health and disease.

Nature communications·2025
Same author

Clinical validation of an HPV whole genome sequencing assay for molecular residual disease detection in HPV-associated head and neck cancer patients treated with surgery.

medRxiv : the preprint server for health sciences·2025
Same author

Enhancing statistical analysis of real world data.

Database : the journal of biological databases and curation·2025
Same author

Nutrition Effects on Brain Outcomes and Recovery in Stroke after Hospitalization (NOURISH): Randomized controlled trial protocol and rationale.

Contemporary clinical trials·2025

Related Experiment Video

Updated: Jun 22, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

rtracklayer: an R package for interfacing with genome browsers.

Michael Lawrence1, Robert Gentleman, Vincent Carey

  • 1Program in Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA. mflawren@fhcrc.org

Bioinformatics (Oxford, England)
|May 27, 2009
PubMed
Summary

The rtracklayer package enables R users to integrate experimental data with genome browsers. This tool facilitates data transfer and manipulation for focused genomic region analysis, currently supporting the UCSC genome browser.

More Related Videos

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
06:02

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

Related Experiment Videos

Last Updated: Jun 22, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
06:02

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The rtracklayer package is available from Bioconductor.
  • A quick-start vignette is included for user guidance.

Purpose of the Study:

  • To facilitate the integration of R-based experimental data analyses with existing genome browsers.
  • To enable users to transfer annotation tracks between R and genome browsers.
  • To allow manipulation of browser views for focused analysis of specific genomic regions.

Main Methods:

  • Utilizing the rtracklayer package in R for data integration.
  • Implementing functions for transferring annotation tracks.
  • Developing methods for creating and manipulating genome browser views.

Main Results:

  • The rtracklayer package successfully integrates R analyses with genome browsers.
  • Users can transfer annotation data to and from genome browsers.
  • Browser views can be customized to focus on specific genomic annotations.

Conclusions:

  • The rtracklayer package enhances R's utility in genomics by bridging experimental data analysis with visualization.
  • It supports seamless data exchange and focused exploration of genomic data within browsers.
  • Current implementation supports the UCSC genome browser, with potential for future expansion.