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

Design Example: Setting a Curve Using Design Data01:09

Design Example: Setting a Curve Using Design Data

251
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...
251
Finding the Center of Gravity01:03

Finding the Center of Gravity

4.4K
The center of gravity of a body is an imaginary point where the body's total weight is assumed to be concentrated, and the body is perfectly balanced. The center of the mass of a body is a point at which the whole of the mass of the body appears to be concentrated. If the acceleration due to gravity, g, has the same value at all points on a body, its center of gravity is identical to its center of mass. The center of gravity of homogeneous bodies such as a sphere, cube, or rectangular plate...
4.4K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.8K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.8K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

2.0K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.0K
RNA-seq03:21

RNA-seq

12.1K
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...
12.1K
Cardiovascular System Abnormal Findings I: Inspection and Palpation01:29

Cardiovascular System Abnormal Findings I: Inspection and Palpation

940
In a cardiovascular examination, inspection and palpation are crucial for identifying abnormalities.
Abnormal findings observed during an inspection
940

You might also read

Related Articles

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

Sort by
Same author

A linguistics-based algorithm for RBP motif and context discovery.

bioRxiv : the preprint server for biology·2026
Same author

Transposable element-gene chimera cartography, origination and role in enhancing transcriptome plasticity.

Nature structural & molecular biology·2026
Same author

A novel NLP-based method and algorithm to discover RNA-binding protein (RBP) motifs, contexts, binding preferences, and interactions.

RNA (New York, N.Y.)·2026
Same author

Natural language-based representation and modeling of RBP binding.

bioRxiv : the preprint server for biology·2026
Same author

An expanded registry of candidate cis-regulatory elements.

Nature·2026
Same author

PsychENCODE at 10: From genomic maps to mechanistic insights in mental illness.

Neuron·2025
Same journal

High-Throughput Microbial Assay for Amino Acid Measurement in Ground Maize Seed Samples Utilizing Auxotrophic <i>E. coli</i>.

Cold Spring Harbor protocols·2025
Same journal

Grain Quality in Maize.

Cold Spring Harbor protocols·2025
Same journal

High-Throughput Assay for Measuring Phytate and Available Phosphorus in Ground Maize Seed Samples.

Cold Spring Harbor protocols·2025
Same journal

Functional Genomic Analysis of Transposon Insertion Mutant Maize Plants from the UniformMu National Public Resource.

Cold Spring Harbor protocols·2025
Same journal

The UniformMu National Public Resource: Transposon<i>-</i>Induced Mutant Seeds for Functional Genomics Studies in Maize.

Cold Spring Harbor protocols·2025
Same journal

Insights from the Study of B-Cell Epitopes of a Microbial Pathogen by Phage Display.

Cold Spring Harbor protocols·2025
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

CARIP-Seq and ChIP-Seq: Methods to Identify Chromatin-Associated RNAs and Protein-DNA Interactions in Embryonic Stem Cells
11:13

CARIP-Seq and ChIP-Seq: Methods to Identify Chromatin-Associated RNAs and Protein-DNA Interactions in Embryonic Stem Cells

Published on: May 25, 2018

10.2K

Identifying Regions Enriched in a ChIP-seq Data Set (Peak Finding).

Jui-Hung Hung, Zhiping Weng

    Cold Spring Harbor Protocols
    |August 31, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This protocol details using MACS software for ChIP-seq peak calling. It covers running MACS on UNIX and Galaxy, and extracting sequences near significant peaks.

    More Related Videos

    A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
    09:35

    A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

    Published on: August 16, 2017

    18.3K
    Automating ChIP-seq Experiments to Generate Epigenetic Profiles on 10,000 HeLa Cells
    08:34

    Automating ChIP-seq Experiments to Generate Epigenetic Profiles on 10,000 HeLa Cells

    Published on: December 10, 2014

    19.1K

    Related Experiment Videos

    Last Updated: Feb 9, 2026

    CARIP-Seq and ChIP-Seq: Methods to Identify Chromatin-Associated RNAs and Protein-DNA Interactions in Embryonic Stem Cells
    11:13

    CARIP-Seq and ChIP-Seq: Methods to Identify Chromatin-Associated RNAs and Protein-DNA Interactions in Embryonic Stem Cells

    Published on: May 25, 2018

    10.2K
    A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
    09:35

    A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

    Published on: August 16, 2017

    18.3K
    Automating ChIP-seq Experiments to Generate Epigenetic Profiles on 10,000 HeLa Cells
    08:34

    Automating ChIP-seq Experiments to Generate Epigenetic Profiles on 10,000 HeLa Cells

    Published on: December 10, 2014

    19.1K

    Area of Science:

    • Molecular Biology
    • Bioinformatics

    Background:

    • Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a powerful technique for identifying protein-DNA interactions.
    • Accurate peak calling is crucial for interpreting ChIP-seq data and identifying regulatory regions.

    Purpose of the Study:

    • To provide a comprehensive protocol for utilizing MACS (Model-based Analysis of ChIP-Seq) software for peak identification in ChIP-seq datasets.
    • To guide users through running MACS in both command-line (UNIX) and graphical (Galaxy) environments.

    Main Methods:

    • The protocol outlines the steps for installing and executing MACS software.
    • It details the process of inputting ChIP-seq data and specifying parameters for peak calling.
    • Methods for extracting DNA sequences surrounding identified peak summits are also described.

    Main Results:

    • Successful application of MACS for identifying significant peaks in ChIP-seq data.
    • Demonstration of peak calling capabilities across different computational environments (UNIX and Galaxy).
    • Extraction of ±50 bp sequences around the summits of the top 500 most significant peaks.

    Conclusions:

    • MACS is a robust and widely adopted tool for ChIP-seq peak analysis.
    • The protocol facilitates efficient and reproducible peak calling and sequence extraction for downstream analysis.