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

RNA-seq03:21

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 microarray-based...
iChip01:24

iChip

The cultivation of environmental microorganisms has long been hindered by the inability to replicate complex native conditions in vitro. The isolation chip (iChip) addresses this limitation by facilitating the growth of previously uncultivable microorganisms through in situ incubation. Designed for high-throughput microbial cultivation, the iChip comprises hundreds of microchambers, each capable of housing a single microbial cell. These microchambers are loaded with a mixture of molten agar and...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

You might also read

Related Articles

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

Sort by
Same author

Modulation of miR-23b Wnt/β-catenin Axis Strengthens Endothelial Barrier Properties.

bioRxiv : the preprint server for biology·2026
Same author

Quantifying Cross-Modal Association Confidence for Single-Cell RNA-ATAC Integration.

bioRxiv : the preprint server for biology·2026
Same author

Resilient nekton composition in the face of climate-driven foundation species shifts.

Ecology·2026
Same author

DNA Methylation Stochasticity Is Linked to Transcriptional Variability and Convergent Epigenetic Disruption across Genetic Subtypes of Acute Myeloid Leukemia.

Cancer research·2026
Same author

Dasatinib resensitizes BRAF/MEK inhibitor efficacy in patient-derived xenografts from patients with progression on BRAF/MEK inhibitor treatment.

iScience·2026
Same author

Immune checkpoint inhibitors amplify type 2 immune mediated repair by pro-regenerative scaffolds.

bioRxiv : the preprint server for biology·2026
Same journal

Author Correction: Sustained nitric oxide production by engineered E. coli remodels the tumor microenvironment and potentiates immunotherapy.

Nature biotechnology·2026
Same journal

Quantum computing in transition.

Nature biotechnology·2026
Same journal

Author Correction: Improved RNA base editing with guide RNAs mimicking highly edited endogenous ADAR substrates.

Nature biotechnology·2026
Same journal

Unlocking the chemical potential of filamentous fungi using prime editing.

Nature biotechnology·2026
Same journal

A genome-scale CRISPRi perturbation atlas of human induced pluripotent stem cells.

Nature biotechnology·2026
Same journal

Prime editing for precise genome engineering and modulation of fungal metabolism.

Nature biotechnology·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

An integrated software system for analyzing ChIP-chip and ChIP-seq data.

Hongkai Ji1, Hui Jiang, Wenxiu Ma

  • 1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205, USA.

Nature Biotechnology
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

CisGenome is a new software for analyzing chromatin immunoprecipitation (ChIP) data. It supports both ChIP-chip and ChIP-sequencing (ChIP-seq) analyses, offering visualization and advanced data mining tools.

More Related Videos

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
12:24

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Related Experiment Videos

Last Updated: Jun 28, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
12:24

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Chromatin immunoprecipitation (ChIP) is crucial for understanding genome regulation.
  • Analyzing ChIP data, especially from ChIP-sequencing (ChIP-seq), requires specialized bioinformatics tools.
  • Existing tools may not fully address the complexities of both ChIP-chip and ChIP-seq data.

Purpose of the Study:

  • To introduce CisGenome, a comprehensive software system for genome-wide ChIP data analysis.
  • To provide integrated tools for visualization, normalization, peak detection, and motif analysis.
  • To support both ChIP-chip and ChIP-seq methodologies, including advanced statistical methods for ChIP-seq.

Main Methods:

  • Development of a modular software system, CisGenome.
  • Implementation of statistical methods for ChIP-seq data analysis.
  • Integration of a built-in browser for visualizing various genomic data types.

Main Results:

  • CisGenome offers a user-friendly graphic interface and batch-mode computation.
  • The software successfully visualizes array images, signals, gene structure, conservation, and sequence/motif information.
  • Demonstrated utility through comparative ChIP-chip/ChIP-seq analysis and motif discovery.

Conclusions:

  • CisGenome provides a versatile platform for analyzing genome-wide ChIP data.
  • The software facilitates comprehensive analysis from raw data to motif discovery.
  • CisGenome supports both established and novel ChIP-based genomic research.