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microarray analysis software package rosetta resolver version 4.0.0.1.1  (Rosetta Biosoftware)

 
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    Structured Review

    Rosetta Biosoftware microarray analysis software package rosetta resolver version 4.0.0.1.1
    Microarray Analysis Software Package Rosetta Resolver Version 4.0.0.1.1, supplied by Rosetta Biosoftware, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/microarray+analysis+software+cambridge/microarray+analysis+software+package+rosetta+resolver+version+4+0+0+1+1/pm15805062-61-15-23
    Average 90 stars, based on 1 article reviews
    microarray analysis software package rosetta resolver version 4.0.0.1.1 - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Hepatic gene expression changes throughout the day in the Fischer rat: implications for toxicogenomic experiments.
    Article Snippet: Data from dye reversal hybridizations representing the same individual (day/night 12-h offset hybridizations) or pools (time of day hybridizations against the universal reference) were combined in the microarray analysis software package Rosetta Resolver version 4.0.0.1.1 (Rosetta Biosoftware, Seattle, WA) using an error-weighted average.

    Article Title: Variation in the hepatic gene expression in individual male Fischer rats.
    Article Snippet: A new tool beginning to have wider application in toxicology studies is transcript profiling using microarrays.. Microarrays provide an opportunity to directly compare transcript populations in the tissues of chemical-exposed and unexposed animals.. While several studies have addressed variation between microarray platforms and between different laboratories, much less effort has been directed toward individual animal differences especially among control animals where RNA samples are usually pooled.

    Article Title: Transcriptional profiling of the left and median liver lobes of male f344/n rats following exposure to acetaminophen.
    Article Snippet: Data Analysis: Data from dye reversal hybridizations representing the same individuals were combined in the microarray analysis software package Rosetta Resolver version 4.0.0.1.1 (Rosetta Biosoftware, Seattle, WA) using a weighted average.

    Article Title: Hepatic transcript levels for genes coding for enzymes associated with xenobiotic metabolism are altered with age.
    Article Snippet: Metabolism studies are crucial for data interpretation from rodent toxicity and carcinogenicity studies.. Metabolism studies are usually conducted in 6 to 8 week old rodents.. Long-term studies often continue beyond 100 weeks of age.

    Microarray:

    Article Title: The MogR Transcriptional Repressor Regulates Nonhierarchal Expression of Flagellar Motility Genes and Virulence in Listeria monocytogenes
    Article Snippet: Microarray slides were scanned by using a ScanArray 5000 apparatus (GSI Lumonics, Billerica, Massachusetts, United States) and analyzed with GenePix PRO 3.0 software (Axon Instruments, Molecular Devices, Sunnyvale, California, United States). .. Arrays were repeated with a minimum of two biological samples subjected to fluor reversal and uploaded onto the Rosetta Resolver microarray analysis platform (Rosetta Biosoftware, Seattle, Washington, United States). ..

    Article Title: Integrating whole-genome expression results into metabolic networks with Pathway Processor.
    Article Snippet: Genes never act alone in a biological system, but participate in a cascade of networks.. As a result, analyzing microarray data from a pathway perspective leads to a new level of understanding the system.. The authors’ group has recently developed Pathway Processor (http://cgr.harvard.edu/cavalieri/pp.html), an automatic statistical method to determine which pathways are most affected by transcriptional changes and to map expression data from multiple whole-genome expression experiments on metabolic pathways (Grosu et al., 2002).

    Article Title: Global Analysis of mRNA Half-Lives and de novo Transcription in a Dinoflagellate, Karenia brevis
    Article Snippet: .. Transcriptional Response to Nitrate: Following feature extraction, microarray data were analyzed with Rosetta Resolver version 7.2 gene expression analysis system (Rosetta Biosoftware, Cambridge, MA). .. Based on the Rosetta error model designed for the Agilent platform, a composite array was generated for newly-synthesized RNA at each time point following N-addition (1 and 4 h) from triplicate arrays (representing three biological replicates), in which the data for each feature underwent a normalization, intensity averaging, and error estimation based on data from the replicate arrays making up the composite .

    Analysis:

    Article Title: The MogR Transcriptional Repressor Regulates Nonhierarchal Expression of Flagellar Motility Genes and Virulence in Listeria monocytogenes
    Article Snippet: Microarray slides were scanned by using a ScanArray 5000 apparatus (GSI Lumonics, Billerica, Massachusetts, United States) and analyzed with GenePix PRO 3.0 software (Axon Instruments, Molecular Devices, Sunnyvale, California, United States). .. Arrays were repeated with a minimum of two biological samples subjected to fluor reversal and uploaded onto the Rosetta Resolver microarray analysis platform (Rosetta Biosoftware, Seattle, Washington, United States). ..

    Article Title: Global Analysis of mRNA Half-Lives and de novo Transcription in a Dinoflagellate, Karenia brevis
    Article Snippet: .. Transcriptional Response to Nitrate: Following feature extraction, microarray data were analyzed with Rosetta Resolver version 7.2 gene expression analysis system (Rosetta Biosoftware, Cambridge, MA). .. Based on the Rosetta error model designed for the Agilent platform, a composite array was generated for newly-synthesized RNA at each time point following N-addition (1 and 4 h) from triplicate arrays (representing three biological replicates), in which the data for each feature underwent a normalization, intensity averaging, and error estimation based on data from the replicate arrays making up the composite .

    Expressing:

    Article Title: Integrating whole-genome expression results into metabolic networks with Pathway Processor.
    Article Snippet: Genes never act alone in a biological system, but participate in a cascade of networks.. As a result, analyzing microarray data from a pathway perspective leads to a new level of understanding the system.. The authors’ group has recently developed Pathway Processor (http://cgr.harvard.edu/cavalieri/pp.html), an automatic statistical method to determine which pathways are most affected by transcriptional changes and to map expression data from multiple whole-genome expression experiments on metabolic pathways (Grosu et al., 2002).

    Extraction:

    Article Title: Global Analysis of mRNA Half-Lives and de novo Transcription in a Dinoflagellate, Karenia brevis
    Article Snippet: .. Transcriptional Response to Nitrate: Following feature extraction, microarray data were analyzed with Rosetta Resolver version 7.2 gene expression analysis system (Rosetta Biosoftware, Cambridge, MA). .. Based on the Rosetta error model designed for the Agilent platform, a composite array was generated for newly-synthesized RNA at each time point following N-addition (1 and 4 h) from triplicate arrays (representing three biological replicates), in which the data for each feature underwent a normalization, intensity averaging, and error estimation based on data from the replicate arrays making up the composite .

    Gene Expression:

    Article Title: Global Analysis of mRNA Half-Lives and de novo Transcription in a Dinoflagellate, Karenia brevis
    Article Snippet: .. Transcriptional Response to Nitrate: Following feature extraction, microarray data were analyzed with Rosetta Resolver version 7.2 gene expression analysis system (Rosetta Biosoftware, Cambridge, MA). .. Based on the Rosetta error model designed for the Agilent platform, a composite array was generated for newly-synthesized RNA at each time point following N-addition (1 and 4 h) from triplicate arrays (representing three biological replicates), in which the data for each feature underwent a normalization, intensity averaging, and error estimation based on data from the replicate arrays making up the composite .



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