Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance ; volume:19 ; number:1 ; day:14 ; month:11 ; year:2018 ; pages:1-12 ; date:12.2018
BMC bioinformatics ; 19, Heft 1 (14.11.2018), 1-12, 12.2018
- Classification
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Biowissenschaften, Biologie
- Creator
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Baccarella, Alyssa
Williams, Claire R.
Parrish, Jay Z.
Kim, Charles C.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12859-018-2445-2
- URN
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urn:nbn:de:101:1-2018123022051608542992
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:44 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Baccarella, Alyssa
- Williams, Claire R.
- Parrish, Jay Z.
- Kim, Charles C.
- SpringerLink (Online service)