Combination of novel and public RNA-seq datasets to generate an mRNA expression atlas for the domestic chicken

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2164

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Combination of novel and public RNA-seq datasets to generate an mRNA expression atlas for the domestic chicken ; volume:19 ; number:1 ; day:7 ; month:8 ; year:2018 ; pages:1-19 ; date:12.2018
BMC genomics ; 19, Heft 1 (7.8.2018), 1-19, 12.2018

Classification: Biowissenschaften, Biologie

Creator: Bush, Stephen J.

Contributor: Freem, Lucy
MacCallum, Amanda J.
O’Dell, Jenny
Wu, Chunlei
Afrasiabi, Cyrus
Psifidi, Androniki
Stevens, Mark P.
Smith, Jacqueline
Summers, Kim M.
Hume, David A.
SpringerLink (Online service)

DOI: 10.1186/s12864-018-4972-7

URN: urn:nbn:de:101:1-2018100722382018771093

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Associated

Bush, Stephen J.
Freem, Lucy
MacCallum, Amanda J.
O’Dell, Jenny
Wu, Chunlei
Afrasiabi, Cyrus
Psifidi, Androniki
Stevens, Mark P.
Smith, Jacqueline
Summers, Kim M.
Hume, David A.
SpringerLink (Online service)

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Combination of novel and public RNA-seq datasets to generate an mRNA expression atlas for the domestic chicken

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Other Objects (12)

RNA splicing analysis using heterogeneous and large RNA-seq datasets

An interpretable framework for clustering single-cell RNA-Seq datasets

GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure

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

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Context-based RNA-seq mapping

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Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets

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An interpretable framework for clustering single-cell RNA-Seq datasets

GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure

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

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Context-based RNA-seq mapping

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Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

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GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure

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

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ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets

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