Q&A: ChIP-seq technologies and the study of gene regulation

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1741-7007

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Q&A: ChIP-seq technologies and the study of gene regulation ; volume:8 ; number:1 ; day:14 ; month:5 ; year:2010 ; pages:1-6 ; date:12.2010
BMC biology ; 8, Heft 1 (14.5.2010), 1-6, 12.2010

Creator: Liu, Edison T.

Contributor: Pott, Sebastian
Huss, Mikael
SpringerLink (Online service)

DOI: 10.1186/1741-7007-8-56

URN: urn:nbn:de:1111-2016072939219

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Liu, Edison T.
Pott, Sebastian
Huss, Mikael
SpringerLink (Online service)

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ChIPseqR: analysis of ChIP-seq experiments

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HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples

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A method for generating highly multiplexed ChIP-seq libraries

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ChIPseqR: analysis of ChIP-seq experiments

BayesPeak: Bayesian analysis of ChIP-seq data

HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

Differential motif enrichment analysis of paired ChIP-seq experiments

A method for generating highly multiplexed ChIP-seq libraries

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Q&A: ChIP-seq technologies and the study of gene regulation

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Other Objects (12)

Model-based Analysis of ChIP-Seq (MACS)

Normalization of ChIP-seq data with control

Shape-based peak identification for ChIP-Seq

The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data

RELACS nuclei barcoding enables high-throughput ChIP-seq

ChIPseqR: analysis of ChIP-seq experiments

BayesPeak: Bayesian analysis of ChIP-seq data

HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

Differential motif enrichment analysis of paired ChIP-seq experiments

A method for generating highly multiplexed ChIP-seq libraries

Model-based Analysis of ChIP-Seq (MACS)

Normalization of ChIP-seq data with control

Shape-based peak identification for ChIP-Seq

The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data

RELACS nuclei barcoding enables high-throughput ChIP-seq

ChIPseqR: analysis of ChIP-seq experiments

BayesPeak: Bayesian analysis of ChIP-seq data

HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

Differential motif enrichment analysis of paired ChIP-seq experiments

A method for generating highly multiplexed ChIP-seq libraries

Model-based Analysis of ChIP-Seq (MACS)

Normalization of ChIP-seq data with control

Shape-based peak identification for ChIP-Seq

The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data

RELACS nuclei barcoding enables high-throughput ChIP-seq

ChIPseqR: analysis of ChIP-seq experiments

BayesPeak: Bayesian analysis of ChIP-seq data

HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

Differential motif enrichment analysis of paired ChIP-seq experiments

A method for generating highly multiplexed ChIP-seq libraries

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