Comprehensive assessment of differential ChIP-seq tools guides optimal algorithm selection
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1474-760X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Comprehensive assessment of differential ChIP-seq tools guides optimal algorithm selection ; volume:23 ; number:1 ; day:24 ; month:5 ; year:2022 ; pages:1-27 ; date:12.2022
Genome biology ; 23, Heft 1 (24.5.2022), 1-27, 12.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13059-022-02686-y
- URN
-
urn:nbn:de:101:1-2022072221324199909285
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:39 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Eder, Thomas
- Grebien, Florian
- SpringerLink (Online service)
Ähnliche Objekte (12)
ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline
Model-based Analysis of ChIP-Seq (MACS)
Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
CHANCE: comprehensive software for quality control and validation of ChIP-seq data
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
ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline
Model-based Analysis of ChIP-Seq (MACS)
Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
CHANCE: comprehensive software for quality control and validation of ChIP-seq data
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
ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline
Model-based Analysis of ChIP-Seq (MACS)
Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
CHANCE: comprehensive software for quality control and validation of ChIP-seq data
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