- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Virus expression detection reveals RNA-sequencing contamination in TCGA ; volume:21 ; number:1 ; day:28 ; month:1 ; year:2020 ; pages:1-11 ; date:12.2020
BMC genomics ; 21, Heft 1 (28.1.2020), 1-11, 12.2020
- Urheber
-
Selitsky, Sara R.
Marron, David
Hollern, Daniel
Mose, Lisle E.
Hoadley, Katherine A.
Jones, Corbin
Parker, Joel S.
Dittmer, Dirk P.
Perou, Charles M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-020-6483-6
- URN
-
urn:nbn:de:101:1-2020042703345333532442
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Selitsky, Sara R.
- Marron, David
- Hollern, Daniel
- Mose, Lisle E.
- Hoadley, Katherine A.
- Jones, Corbin
- Parker, Joel S.
- Dittmer, Dirk P.
- Perou, Charles M.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells
RNA-sequencing reveals early, dynamic transcriptome changes in the corollas of pollinated petunias
RNA-sequencing reveals long-term effects of silver nanoparticles on human lung cells
Single-cell RNA-sequencing of the brain
Analyzing Acute Myeloid Leukemia by RNA-sequencing
RNA-sequencing reveals molecular and regional differences in the esophageal mucosa of achalasia patients
Single-cell RNA-sequencing reveals the dynamic process and novel markers in porcine spermatogenesis
Statistical power analysis for single-cell RNA-sequencing
Bias detection and correction in RNA-Sequencing data
PASTA: splice junction identification from RNA-Sequencing data
Pan-cancer analysis of TCGA data reveals notable signaling pathways
RNA-sequencing reveals positional memory of multipotent mesenchymal stromal cells from oral and maxillofacial tissue transcriptomes
Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells
RNA-sequencing reveals early, dynamic transcriptome changes in the corollas of pollinated petunias
RNA-sequencing reveals long-term effects of silver nanoparticles on human lung cells
Single-cell RNA-sequencing of the brain
Analyzing Acute Myeloid Leukemia by RNA-sequencing
RNA-sequencing reveals molecular and regional differences in the esophageal mucosa of achalasia patients
Single-cell RNA-sequencing reveals the dynamic process and novel markers in porcine spermatogenesis
Statistical power analysis for single-cell RNA-sequencing
Bias detection and correction in RNA-Sequencing data
PASTA: splice junction identification from RNA-Sequencing data
Pan-cancer analysis of TCGA data reveals notable signaling pathways
RNA-sequencing reveals positional memory of multipotent mesenchymal stromal cells from oral and maxillofacial tissue transcriptomes
Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells
RNA-sequencing reveals early, dynamic transcriptome changes in the corollas of pollinated petunias
RNA-sequencing reveals long-term effects of silver nanoparticles on human lung cells
Single-cell RNA-sequencing of the brain
Analyzing Acute Myeloid Leukemia by RNA-sequencing
RNA-sequencing reveals molecular and regional differences in the esophageal mucosa of achalasia patients
Single-cell RNA-sequencing reveals the dynamic process and novel markers in porcine spermatogenesis
Statistical power analysis for single-cell RNA-sequencing
Bias detection and correction in RNA-Sequencing data
PASTA: splice junction identification from RNA-Sequencing data
Pan-cancer analysis of TCGA data reveals notable signaling pathways