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rhapsody whole transcriptome assay analysis pipeline (v1.8  (Becton Dickinson)

 
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    Becton Dickinson rhapsody whole transcriptome assay analysis pipeline (v1.8
    Overview of SCROAM. a) The deconvolution model that uses a reference requires two input datasets: bulk RNA‐seq count and a reference containing counts of scRNA‐seq reads. Additionally, the single‐cell <t>transcriptome</t> data must label the cell type to be quantified. b) SCROAM learns gene‐specific transformations of bulk data by utilizing the reference sequences observed in single‐cell data. This allows us to account for potential technical bias between sequencing technologies used in single‐cell and bulk RNA‐seq data. c) SCROAM begins with scRNA‐seq data and classifies the cells into different cell types, which were represented by different colors in the analysis. By calculating gene specificity in a given cell type, an expression matrix reflecting cell type specificity was constructed. d) SCROAM employs single‐cell reference data to estimate the cell type ratio in transformed bulk data.
    Rhapsody Whole Transcriptome Assay Analysis Pipeline (V1.8, supplied by Becton Dickinson, 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/transcriptomic+analysis/pmc10870031-92-11-10?v=Becton+Dickinson
    Average 90 stars, based on 1 article reviews
    rhapsody whole transcriptome assay analysis pipeline (v1.8 - by Bioz Stars, 2026-08
    90/100 stars

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    1) Product Images from "Highly Accurate Estimation of Cell Type Abundance in Bulk Tissues Based on Single‐Cell Reference and Domain Adaptive Matching"

    Article Title: Highly Accurate Estimation of Cell Type Abundance in Bulk Tissues Based on Single‐Cell Reference and Domain Adaptive Matching

    Journal: Advanced Science

    doi: 10.1002/advs.202306329

    Overview of SCROAM. a) The deconvolution model that uses a reference requires two input datasets: bulk RNA‐seq count and a reference containing counts of scRNA‐seq reads. Additionally, the single‐cell transcriptome data must label the cell type to be quantified. b) SCROAM learns gene‐specific transformations of bulk data by utilizing the reference sequences observed in single‐cell data. This allows us to account for potential technical bias between sequencing technologies used in single‐cell and bulk RNA‐seq data. c) SCROAM begins with scRNA‐seq data and classifies the cells into different cell types, which were represented by different colors in the analysis. By calculating gene specificity in a given cell type, an expression matrix reflecting cell type specificity was constructed. d) SCROAM employs single‐cell reference data to estimate the cell type ratio in transformed bulk data.
    Figure Legend Snippet: Overview of SCROAM. a) The deconvolution model that uses a reference requires two input datasets: bulk RNA‐seq count and a reference containing counts of scRNA‐seq reads. Additionally, the single‐cell transcriptome data must label the cell type to be quantified. b) SCROAM learns gene‐specific transformations of bulk data by utilizing the reference sequences observed in single‐cell data. This allows us to account for potential technical bias between sequencing technologies used in single‐cell and bulk RNA‐seq data. c) SCROAM begins with scRNA‐seq data and classifies the cells into different cell types, which were represented by different colors in the analysis. By calculating gene specificity in a given cell type, an expression matrix reflecting cell type specificity was constructed. d) SCROAM employs single‐cell reference data to estimate the cell type ratio in transformed bulk data.

    Techniques Used: RNA Sequencing Assay, Sequencing, Expressing, Construct, Transformation Assay



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    Image Search Results


    Effects of Different HLP Concentrations on the Relative Expression Levels of DEGs. (A) qPCR Validation of Transcriptomic Results for Peripheral Blood Lymphocytes. (B) qPCR Validation of Transcriptomic Results for Duodenal Tissues. Statistical tests were used for comparisons between groups, where “ns” indicates no significant difference, “**” indicates P < 0.01, and “****” indicates P < 0.0001. Error bars represent the range of mean variation (e.g., standard deviation).

    Journal: Poultry Science

    Article Title: Analysis of the immunomodulatory effects of Honeysuckle leaf polysaccharides on cherry valley ducks based on transcriptomic techniques

    doi: 10.1016/j.psj.2026.106737

    Figure Lengend Snippet: Effects of Different HLP Concentrations on the Relative Expression Levels of DEGs. (A) qPCR Validation of Transcriptomic Results for Peripheral Blood Lymphocytes. (B) qPCR Validation of Transcriptomic Results for Duodenal Tissues. Statistical tests were used for comparisons between groups, where “ns” indicates no significant difference, “**” indicates P < 0.01, and “****” indicates P < 0.0001. Error bars represent the range of mean variation (e.g., standard deviation).

    Article Snippet: Simultaneously, the liver, spleen, and duodenum were collected, rapidly frozen in liquid nitrogen, stored at −80°C, and subsequently sent to Novogene Bio-Technology Co., Ltd. for transcriptomic analysis ( ).

    Techniques: Expressing, Biomarker Discovery, Standard Deviation