DAG expression: high-throughput gene expression analysis of real-time PCR data using standard curves for relative quantification.
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With Reference to Reference Genes: A Systematic Review of Endogenous Controls in Gene Expression StudiesSuppressing Farnesyl Diphosphate Synthase Alters Chloroplast Development and Triggers Sterol-Dependent Induction of Jasmonate- and Fe-Related ResponsesquantGenius: implementation of a decision support system for qPCR-based gene quantificationLEMming: A Linear Error Model to Normalize Parallel Quantitative Real-Time PCR (qPCR) Data as an Alternative to Reference Gene Based Methods.Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs.A global analysis of CNVs in swine using whole genome sequence data and association analysis with fatty acid composition and growth traits.New insight into the SSC8 genetic determination of fatty acid composition in pigs.From SNP co-association to RNA co-expression: novel insights into gene networks for intramuscular fatty acid composition in porcineIdentity, proliferation capacity, genomic stability and novel senescence markers of mesenchymal stem cells isolated from low volume of human bone marrow.Expression-based GWAS identifies variants, gene interactions and key regulators affecting intramuscular fatty acid content and composition in porcine meat.Tomato UDP-Glucose Sterol Glycosyltransferases: A Family of Developmental and Stress Regulated Genes that Encode Cytosolic and Membrane-Associated Forms of the Enzyme.Expression analysis of candidate genes for fatty acid composition in adipose tissue and identification of regulatory regions.Analysis of the porcine APOA2 gene expression in liver, polymorphism identification and association with fatty acid composition traits.Identification and Characterization of Sterol Acyltransferases Responsible for Steryl Ester Biosynthesis in Tomato.
P2860
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P2860
DAG expression: high-throughput gene expression analysis of real-time PCR data using standard curves for relative quantification.
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
DAG expression: high-throughpu ...... s for relative quantification.
@ast
DAG expression: high-throughpu ...... s for relative quantification.
@en
type
label
DAG expression: high-throughpu ...... s for relative quantification.
@ast
DAG expression: high-throughpu ...... s for relative quantification.
@en
prefLabel
DAG expression: high-throughpu ...... s for relative quantification.
@ast
DAG expression: high-throughpu ...... s for relative quantification.
@en
P2860
P1433
P1476
DAG expression: high-throughpu ...... es for relative quantification
@en
P2093
Rubén Cordón
P2860
P304
P356
10.1371/JOURNAL.PONE.0080385
P407
P577
2013-11-18T00:00:00Z