Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1471-2105
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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
Biowissenschaften, Biologie

Creator
Baccarella, Alyssa
Williams, Claire R.
Parrish, Jay Z.
Kim, Charles C.
Contributor
SpringerLink (Online service)

DOI
10.1186/s12859-018-2445-2
URN
urn:nbn:de:101:1-2018123022051608542992
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:44 AM CEST

Data provider

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Associated

  • Baccarella, Alyssa
  • Williams, Claire R.
  • Parrish, Jay Z.
  • Kim, Charles C.
  • SpringerLink (Online service)

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