IVT-seq reveals extreme bias in RNA sequencing

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1474-760X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: IVT-seq reveals extreme bias in RNA sequencing ; volume:15 ; number:6 ; day:30 ; month:6 ; year:2014 ; pages:1-15 ; date:6.2014
Genome biology ; 15, Heft 6 (30.6.2014), 1-15, 6.2014

Creator: Lahens, Nicholas F.

Contributor: Kavakli, Ibrahim Halil
Zhang, Ray
Hayer, Katharina E.
Black, Michael B.
Dueck, Hannah
Pizarro, Angel
Kim, Junhyong
Irizarry, Rafael
Thomas, Russell S.
Grant, Gregory R.
Hogenesch, John B.
SpringerLink (Online service)

DOI: 10.1186/gb-2014-15-6-r86

URN: urn:nbn:de:1111-2016050213495

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Lahens, Nicholas F.
Kavakli, Ibrahim Halil
Zhang, Ray
Hayer, Katharina E.
Black, Michael B.
Dueck, Hannah
Pizarro, Angel
Kim, Junhyong
Irizarry, Rafael
Thomas, Russell S.
Grant, Gregory R.
Hogenesch, John B.
SpringerLink (Online service)

Other Objects (12)

Enhancing RNA-seq bias mitigation with the Gaussian self-benchmarking framework: towards unbiased sequencing data

Sensory substitution reveals a manipulation bias

Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing

Holo-Seq: single-cell sequencing of holo-transcriptome

Prime-seq, efficient and powerful bulk RNA sequencing

Subtracting the sequence bias from partially digested MNase-seq data reveals a general contribution of TFIIS to nucleosome positioning

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Gene ontology analysis for RNA-seq: accounting for selection bias

Improving RNA-Seq expression estimates by correcting for fragment bias

Introgressions lead to reference bias in wheat RNA-seq analysis

Transcript length bias in RNA-seq data confounds systems biology

ReSeq simulates realistic Illumina high-throughput sequencing data

Enhancing RNA-seq bias mitigation with the Gaussian self-benchmarking framework: towards unbiased sequencing data

Sensory substitution reveals a manipulation bias

Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing

Holo-Seq: single-cell sequencing of holo-transcriptome

Prime-seq, efficient and powerful bulk RNA sequencing

Subtracting the sequence bias from partially digested MNase-seq data reveals a general contribution of TFIIS to nucleosome positioning

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Gene ontology analysis for RNA-seq: accounting for selection bias

Improving RNA-Seq expression estimates by correcting for fragment bias

Introgressions lead to reference bias in wheat RNA-seq analysis

Transcript length bias in RNA-seq data confounds systems biology

ReSeq simulates realistic Illumina high-throughput sequencing data

Enhancing RNA-seq bias mitigation with the Gaussian self-benchmarking framework: towards unbiased sequencing data

Sensory substitution reveals a manipulation bias

Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing

Holo-Seq: single-cell sequencing of holo-transcriptome

Prime-seq, efficient and powerful bulk RNA sequencing

Subtracting the sequence bias from partially digested MNase-seq data reveals a general contribution of TFIIS to nucleosome positioning

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Gene ontology analysis for RNA-seq: accounting for selection bias

Improving RNA-Seq expression estimates by correcting for fragment bias

Introgressions lead to reference bias in wheat RNA-seq analysis

Transcript length bias in RNA-seq data confounds systems biology

ReSeq simulates realistic Illumina high-throughput sequencing data

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

IVT-seq reveals extreme bias in RNA sequencing

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Enhancing RNA-seq bias mitigation with the Gaussian self-benchmarking framework: towards unbiased sequencing data

Sensory substitution reveals a manipulation bias

Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing

Holo-Seq: single-cell sequencing of holo-transcriptome

Prime-seq, efficient and powerful bulk RNA sequencing

Subtracting the sequence bias from partially digested MNase-seq data reveals a general contribution of TFIIS to nucleosome positioning

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Gene ontology analysis for RNA-seq: accounting for selection bias

Improving RNA-Seq expression estimates by correcting for fragment bias

Introgressions lead to reference bias in wheat RNA-seq analysis

Transcript length bias in RNA-seq data confounds systems biology

ReSeq simulates realistic Illumina high-throughput sequencing data

Enhancing RNA-seq bias mitigation with the Gaussian self-benchmarking framework: towards unbiased sequencing data

Sensory substitution reveals a manipulation bias

Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing

Holo-Seq: single-cell sequencing of holo-transcriptome

Prime-seq, efficient and powerful bulk RNA sequencing

Subtracting the sequence bias from partially digested MNase-seq data reveals a general contribution of TFIIS to nucleosome positioning

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Gene ontology analysis for RNA-seq: accounting for selection bias

Improving RNA-Seq expression estimates by correcting for fragment bias

Introgressions lead to reference bias in wheat RNA-seq analysis

Transcript length bias in RNA-seq data confounds systems biology

ReSeq simulates realistic Illumina high-throughput sequencing data

Enhancing RNA-seq bias mitigation with the Gaussian self-benchmarking framework: towards unbiased sequencing data

Sensory substitution reveals a manipulation bias

Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing

Holo-Seq: single-cell sequencing of holo-transcriptome

Prime-seq, efficient and powerful bulk RNA sequencing

Subtracting the sequence bias from partially digested MNase-seq data reveals a general contribution of TFIIS to nucleosome positioning

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Gene ontology analysis for RNA-seq: accounting for selection bias

Improving RNA-Seq expression estimates by correcting for fragment bias

Introgressions lead to reference bias in wheat RNA-seq analysis

Transcript length bias in RNA-seq data confounds systems biology

ReSeq simulates realistic Illumina high-throughput sequencing data

Related objects

Reset password