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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2164

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data ; volume:17 ; number:1 ; day:18 ; month:11 ; year:2016 ; pages:1-15 ; date:12.2016
BMC genomics ; 17, Heft 1 (18.11.2016), 1-15, 12.2016

Creator: Ambrosini, Giovanna

Contributor: Dreos, René
Kumar, Sunil
Bucher, Philipp
SpringerLink (Online service)

DOI: 10.1186/s12864-016-3288-8

URN: urn:nbn:de:1111-201612098906

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

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Ambrosini, Giovanna
Dreos, René
Kumar, Sunil
Bucher, Philipp
SpringerLink (Online service)

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ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis

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

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Other Objects (12)

ChIPseqR: analysis of ChIP-seq experiments

Model-based Analysis of ChIP-Seq (MACS)

Shape-based peak identification for ChIP-Seq

Normalization of ChIP-seq data with control

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

RELACS nuclei barcoding enables high-throughput ChIP-seq

BayesPeak: Bayesian analysis of ChIP-seq data

jChIP: a graphical environment for exploratory ChIP-Seq data analysis

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis

Limitations and possibilities of low cell number ChIP-seq

Principles of ChIP-seq Data Analysis Illustrated with Examples

ChIPseqR: analysis of ChIP-seq experiments

Model-based Analysis of ChIP-Seq (MACS)

Shape-based peak identification for ChIP-Seq

Normalization of ChIP-seq data with control

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

RELACS nuclei barcoding enables high-throughput ChIP-seq

BayesPeak: Bayesian analysis of ChIP-seq data

jChIP: a graphical environment for exploratory ChIP-Seq data analysis

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis

Limitations and possibilities of low cell number ChIP-seq

Principles of ChIP-seq Data Analysis Illustrated with Examples

ChIPseqR: analysis of ChIP-seq experiments

Model-based Analysis of ChIP-Seq (MACS)

Shape-based peak identification for ChIP-Seq

Normalization of ChIP-seq data with control

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

RELACS nuclei barcoding enables high-throughput ChIP-seq

BayesPeak: Bayesian analysis of ChIP-seq data

jChIP: a graphical environment for exploratory ChIP-Seq data analysis

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis

Limitations and possibilities of low cell number ChIP-seq

Principles of ChIP-seq Data Analysis Illustrated with Examples

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