Inferring metabolic pathway activity levels from RNA-Seq data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2164

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Inferring metabolic pathway activity levels from RNA-Seq data ; volume:17 ; number:5 ; day:31 ; month:8 ; year:2016 ; pages:493-503 ; date:8.2016
BMC genomics ; 17, Heft 5 (31.8.2016), 493-503, 8.2016

Classification: Biowissenschaften, Biologie

Creator: Temate-Tiagueu, Yvette

Contributor: Seesi, Sahar Al
Mathew, Meril
Mandric, Igor
Rodriguez, Alex
Bean, Kayla
Cheng, Qiong
Glebova, Olga
Măndoiu, Ion
Lopanik, Nicole B.
Zelikovsky, Alexander
SpringerLink (Online service)

DOI: 10.1186/s12864-016-2823-y

URN: urn:nbn:de:101:1-2018071920390384404559

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

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Associated

Temate-Tiagueu, Yvette
Seesi, Sahar Al
Mathew, Meril
Mandric, Igor
Rodriguez, Alex
Bean, Kayla
Cheng, Qiong
Glebova, Olga
Măndoiu, Ion
Lopanik, Nicole B.
Zelikovsky, Alexander
SpringerLink (Online service)

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Inferring metabolic pathway activity levels from RNA-Seq data

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Other Objects (12)

SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data

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

SeqOthello: querying RNA-seq experiments at scale

Context-based RNA-seq mapping

Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers

RNA-seq: technical variability and sampling

Transcript quantification with RNA-Seq data

Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype

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

SeqOthello: querying RNA-seq experiments at scale

Context-based RNA-seq mapping

Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers

RNA-seq: technical variability and sampling

Transcript quantification with RNA-Seq data

Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype

Targeting nucleotide metabolic pathways in colorectal cancer by integrating scRNA-seq, spatial transcriptome, and bulk RNA-seq data

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SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data

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

SeqOthello: querying RNA-seq experiments at scale

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Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers

RNA-seq: technical variability and sampling

Transcript quantification with RNA-Seq data

Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype

Targeting nucleotide metabolic pathways in colorectal cancer by integrating scRNA-seq, spatial transcriptome, and bulk RNA-seq data

Pathway centric analysis for single-cell RNA-seq and spatial transcriptomics data with GSDensity

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