Integrated RNA-seq and DNase-seq analyses identify phenotype-specific BMP4 signaling in breast cancer
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Integrated RNA-seq and DNase-seq analyses identify phenotype-specific BMP4 signaling in breast cancer ; volume:18 ; number:1 ; day:11 ; month:1 ; year:2017 ; pages:1-15 ; date:12.2017
BMC genomics ; 18, Heft 1 (11.1.2017), 1-15, 12.2017
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Ampuja, M.
- Beteiligte Personen und Organisationen
-
Rantapero, T.
Rodriguez-Martinez, A.
Palmroth, M.
Alarmo, E. L.
Nykter, M.
Kallioniemi, A.
SpringerLink (Online service)
- DOI
-
10.1186/s12864-016-3428-1
- URN
-
urn:nbn:de:101:1-2018083107442152931232
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 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
- Ampuja, M.
- Rantapero, T.
- Rodriguez-Martinez, A.
- Palmroth, M.
- Alarmo, E. L.
- Nykter, M.
- Kallioniemi, A.
- SpringerLink (Online service)
Ähnliche Objekte (12)
SeqOthello: querying RNA-seq experiments at scale
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
Context-based RNA-seq mapping
Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types
Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers
RNA-seq: technical variability and sampling
Transcript quantification with RNA-Seq data
Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes
DeLTa-Seq: direct-lysate targeted RNA-Seq from crude tissue lysate
RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes
Microarrays and RNA-Seq identify molecular mechanisms driving the end of nephron production
SeqOthello: querying RNA-seq experiments at scale
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
Context-based RNA-seq mapping
Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types
Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers
RNA-seq: technical variability and sampling
Transcript quantification with RNA-Seq data
Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes
DeLTa-Seq: direct-lysate targeted RNA-Seq from crude tissue lysate
RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes
Microarrays and RNA-Seq identify molecular mechanisms driving the end of nephron production
SeqOthello: querying RNA-seq experiments at scale
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
Context-based RNA-seq mapping
Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types
Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers
RNA-seq: technical variability and sampling
Transcript quantification with RNA-Seq data
Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes
DeLTa-Seq: direct-lysate targeted RNA-Seq from crude tissue lysate
RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes