s ·nr: a visual analytics framework for contextual analyses of private and 
public RNA-seq data

Klemm, Paul; Frommolt, Peter; Kornfeld, Jan-Wilhelm

doi:10.1186/s12864-018-5396-0

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s ·nr: a visual analytics framework for contextual analyses of private and public RNA-seq data

Klemm, P., Frommolt, P., & Kornfeld, J.-W. (2019). s ·nr: a visual analytics framework for contextual analyses of private and public RNA-seq data. BMC Genomics, 20(1), 85-96. doi:10.1186/s12864-018-5396-0.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-EBD0-A Version Permalink: https://hdl.handle.net/21.11116/0000-0002-EBD3-7

Genre: Journal Article

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Creators:
Klemm, Paul, Author
Frommolt, Peter, Author
Kornfeld, Jan-Wilhelm¹, Author

Affiliations:
1Noncoding RNAs and Energy Homeostatis, MPG Research Groups, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149651

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Language(s): eng - English

Dates: Date issued: 2019

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1186/s12864-018-5396-0

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Title: BMC Genomics

Source Genre: Journal

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Publ. Info: BioMed Central

Pages: - Volume / Issue: 20 (1) Sequence Number: - Start / End Page: 85 - 96 Identifier: ISSN: 1471-2164
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905010