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

Design Example: Setting a Curve Using Design Data

Design Example: Setting a Curve Using Design Data

Designing and plotting a curve using field data requires precise calculations and execution. A horizontal curve with a radius of 200 meters and an intersection angle of 20 degrees is established using the method of perpendicular offsets from the long chord. The long chord, which spans between the curve's endpoints, is calculated to be 69.46 meters in length. To maintain accuracy in plotting, intervals of 3 meters are selected along the chord.The engineer determines the offset distances for each...

How Data are Classified: Categorical Data

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...

How Data are Classified: Numerical Data

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

Data Reporting and Recording

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...

Data Validation

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

You might also read

Related Articles

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

Sort by

Same author

The CARM1 epigenetic enzyme inhibits cross-presenting dendritic cell function in cancer immunity.

Science (New York, N.Y.)·2026

Same author

Integration of large, complex single-cell datasets with Harmony2.

bioRxiv : the preprint server for biology·2026

Same author

Distinct Malignant Cell States and Myeloid Glutamate Signaling Associated with Aggressive Pancreatic Neuroendocrine Tumors.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026

Same author

Leveraging sequences missing from the human genome to diagnose cancer.

Communications medicine·2025

Same author

Detecting known neoepitopes, gene fusions, transposable elements, and circular RNAs in cell-free RNA.

Bioinformatics (Oxford, England)·2025

Same author

Lake Malawi cichlid pangenome graph reveals extensive structural variation driven by transposable elements.

Genome research·2025

Search research articles

Related Experiment Video

Updated: Feb 12, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

scmap: projection of single-cell RNA-seq data across data sets.

Vladimir Yu Kiselev¹, Andrew Yiu¹, Martin Hemberg¹

¹Wellcome Sanger Institute, Hinxton, UK.

|April 3, 2018

Summary

Comparing single-cell RNA sequencing data across experiments is difficult. scmap is a new method that projects cells from one dataset onto another, enabling cross-experiment comparisons.

More Related Videos

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Published on: August 25, 2020

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Related Experiment Videos

Last Updated: Feb 12, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Published on: August 25, 2020

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Single-cell RNA sequencing (scRNA-seq) enables cell type definition via transcriptome clustering.
Variability in experimental and computational methods complicates cross-dataset comparisons.

Purpose of the Study:

To introduce scmap, a novel computational method for comparing scRNA-seq data across experiments.
To facilitate the projection of cells from one scRNA-seq dataset onto existing cell types or individual cells from other datasets.

Main Methods:

Development of the scmap algorithm for cell projection.
Utilizing scRNA-seq data from multiple experiments for method validation.

Main Results:

scmap enables the mapping of cells between different scRNA-seq experiments.
The method overcomes challenges associated with experimental and analytical variability.

Conclusions:

scmap provides a robust solution for integrating and comparing scRNA-seq data.
This tool enhances the ability to define and analyze cell types across diverse biological studies.