- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Normalization of ChIP-seq data with control ; volume:13 ; number:1 ; day:10 ; month:8 ; year:2012 ; pages:1-10 ; date:12.2012
BMC bioinformatics ; 13, Heft 1 (10.8.2012), 1-10, 12.2012
- Creator
-
Liang, Kun
- Contributor
-
Keleş, Sündüz
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-13-199
- URN
-
urn:nbn:de:1111-2016021734618
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:28 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Liang, Kun
- Keleş, Sündüz
- SpringerLink (Online service)
Other Objects (12)
Titration-based normalization of antibody amount improves consistency of ChIP-seq experiments
ChIPseqR: analysis of ChIP-seq experiments
Model-based Analysis of ChIP-Seq (MACS)
Shape-based peak identification for ChIP-Seq
CHIPIN: ChIP-seq inter-sample normalization based on signal invariance across transcriptionally constant genes
HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
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
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
Titration-based normalization of antibody amount improves consistency of ChIP-seq experiments
ChIPseqR: analysis of ChIP-seq experiments
Model-based Analysis of ChIP-Seq (MACS)
Shape-based peak identification for ChIP-Seq
CHIPIN: ChIP-seq inter-sample normalization based on signal invariance across transcriptionally constant genes
HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
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
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
Titration-based normalization of antibody amount improves consistency of ChIP-seq experiments
ChIPseqR: analysis of ChIP-seq experiments
Model-based Analysis of ChIP-Seq (MACS)
Shape-based peak identification for ChIP-Seq
CHIPIN: ChIP-seq inter-sample normalization based on signal invariance across transcriptionally constant genes
HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
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
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