GC-Content Normalization for RNA-Seq Data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: GC-Content Normalization for RNA-Seq Data ; volume:12 ; number:1 ; day:17 ; month:12 ; year:2011 ; pages:1-17 ; date:12.2011
BMC bioinformatics ; 12, Heft 1 (17.12.2011), 1-17, 12.2011

Creator: Risso, Davide

Contributor: Schwartz, Katja
Sherlock, Gavin
Dudoit, Sandrine
SpringerLink (Online service)

DOI: 10.1186/1471-2105-12-480

URN: urn:nbn:de:1111-2016021729709

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:27 AM CEST

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Risso, Davide
Schwartz, Katja
Sherlock, Gavin
Dudoit, Sandrine
SpringerLink (Online service)

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GC-Content Normalization for RNA-Seq Data

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Other Objects (12)

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An iteration normalization and test method for differential expression analysis of RNA-seq data

Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data

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A statistical normalization method and differential expression analysis for RNA-seq data between different species

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A scaling normalization method for differential expression analysis of RNA-seq data

MUREN: a robust and multi-reference approach of RNA-seq transcript normalization

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Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data

DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis

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SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

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MUREN: a robust and multi-reference approach of RNA-seq transcript normalization

Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data

Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data

DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis

Quantile normalization of single-cell RNA-seq read counts without unique molecular identifiers

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Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

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