RELACS nuclei barcoding enables high-throughput ChIP-seq

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2399-3642

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: RELACS nuclei barcoding enables high-throughput ChIP-seq ; volume:1 ; number:1 ; day:5 ; month:12 ; year:2018 ; pages:1-12 ; date:12.2018
Communications biology ; 1, Heft 1 (5.12.2018), 1-12, 12.2018

Classification: Biowissenschaften, Biologie

Creator: Arrigoni, Laura
Al-Hasani, Hoor
Ramírez, Fidel
Panzeri, Ilaria
Ryan, Devon Patrick
Santacruz, Diana
Kress, Nadia
Pospisilik, John Andrew
Bönisch, Ulrike
Manke, Thomas

Contributor: SpringerLink (Online service)

DOI: 10.1038/s42003-018-0219-z

URN: urn:nbn:de:101:1-2019011400595744770198

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:47 AM CEST

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Arrigoni, Laura
Al-Hasani, Hoor
Ramírez, Fidel
Panzeri, Ilaria
Ryan, Devon Patrick
Santacruz, Diana
Kress, Nadia
Pospisilik, John Andrew
Bönisch, Ulrike
Manke, Thomas
SpringerLink (Online service)

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Model-based Analysis of ChIP-Seq (MACS)

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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

ChIPseqR: analysis of ChIP-seq experiments

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

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

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Model-based Analysis of ChIP-Seq (MACS)

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

ChIPseqR: analysis of ChIP-seq experiments

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

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data

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

ChIPseqR: analysis of ChIP-seq experiments

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

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

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RELACS nuclei barcoding enables high-throughput ChIP-seq

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Other Objects (12)

MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data

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

ChIPseqR: analysis of ChIP-seq experiments

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

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data

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

ChIPseqR: analysis of ChIP-seq experiments

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

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data

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

ChIPseqR: analysis of ChIP-seq experiments

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

Principles of ChIP-seq Data Analysis Illustrated with Examples

Limitations and possibilities of low cell number ChIP-seq

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