A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
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Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisImpact of Genomics Platform and Statistical Filtering on Transcriptional Benchmark Doses (BMD) and Multiple Approaches for Selection of Chemical Point of Departure (PoD)Finding microRNA targets in plants: current status and perspectivesIntegrated analysis of transcriptomic and proteomic dataProstate cancer invasion and metastasis: insights from mining genomic data.Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis.Transcriptome profiling of the salt-stress response in Triticum aestivum cv. Kharchia Local.Transcriptome analysis of psoriasis in a large case-control sample: RNA-seq provides insights into disease mechanismsRNA-seq Transcriptional Profiling of Peripheral Blood Leukocytes from Cattle Infected with Mycobacterium bovis.Toxicologic pathology in the 21st century.Whole-transcriptome, high-throughput RNA sequence analysis of the bovine macrophage response to Mycobacterium bovis infection in vitro.ANOVA-like differential expression (ALDEx) analysis for mixed population RNA-Seq.RNA-Seq effectively monitors gene expression in Eutrema salsugineum plants growing in an extreme natural habitat and in controlled growth cabinet conditions.Analysis of the Bovine Monocyte-Derived Macrophage Response to Mycobacterium avium Subspecies Paratuberculosis Infection Using RNA-seq.Biotechnology and pasta-making: lactic Acid bacteria as a new driver of innovation.Deciphering the plant splicing code: experimental and computational approaches for predicting alternative splicing and splicing regulatory elementsRNA-Sequencing for profiling goat milk transcriptome in colostrum and mature milk.A guide to the current Web-based resources in pharmacogenomics.Proteomics revisits the cancer metabolome.Potential value of nutrigenomics in Crohn's disease.Investigation of Aspergillus fumigatus biofilm formation by various "omics" approaches.DNA microarray-based gene expression profiling of estrogenic chemicals.Transcriptome characteristics of filamentous fungi deduced using high-throughput analytical technologies.Comprehensive analysis of transcriptome response to salinity stress in the halophytic turf grass Sporobolus virginicus.Integrative analyses reveal biological pathways and key genes in psoriasis.Inferring Boolean network states from partial information.A guideline to family-wide comparative state-of-the-art quantitative RT-PCR analysis exemplified with a Brassicaceae cross-species seed germination case study.A standardized fold change method for microarray differential expression analysis used to reveal genes involved in acute rejection in murine allograft models.A Leveraged Signal-to-Noise Ratio (LSTNR) Method to Extract Differentially Expressed Genes and Multivariate Patterns of Expression From Noisy and Low-Replication RNAseq Data.
P2860
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P2860
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on 09 March 2011
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
@en
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
@nl
type
label
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
@en
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
@nl
prefLabel
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
@en
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies.
@nl
P50
P356
P1476
A comparison of analog and Next-Generation transcriptomic tools for mammalian studies
@en
P2093
Zaneta A Park
P304
P356
10.1093/BFGP/ELR005
P577
2011-03-09T00:00:00Z