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anti fcov nucleocapsid  (Bio-Rad)


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    Bio-Rad anti fcov nucleocapsid
    Anti Fcov Nucleocapsid, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 93/100, based on 39 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline <t>coronavirus</t> <t>(FCoV),</t> using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .
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    ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline <t>coronavirus</t> <t>(FCoV),</t> using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .
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    ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline <t>coronavirus</t> <t>(FCoV),</t> using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .
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    ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline <t>coronavirus</t> <t>(FCoV),</t> using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .
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    Image Search Results


    ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline coronavirus (FCoV), using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .

    Journal: Computational and Structural Biotechnology Journal

    Article Title: Next-Generation Sequencing Dataset Downloader and In Silico Sequence Mining: Graphical-User-Interface-Based Tools for Accessible, Multiprobe Target Mining in Next-Generation Sequencing Data

    doi: 10.34133/csbj.0095

    Figure Lengend Snippet: ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline coronavirus (FCoV), using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .

    Article Snippet: The feline coronavirus (FCoV) type 2 strain WSU 79-1683 (American Type Culture Collection VR-989) was obtained from the American Type Culture Collection and used in this study.

    Techniques: Infection, Generated, Extraction, Derivative Assay, Transformation Assay

    Evaluation of the specificity of RAA-CRISPR/Cas12a/FLUOR and RAA-CRISPR/Cas12a/LFS. Product detection using CRISPR/Cas12a/FLUOR and CRISPR/Cas12a/LFS. RAA was used to detect DNA or cDNA of FPV, FHV, FCV, and FCoV. Then the products were detected by CRISPR/Cas12a/FLUOR (A,B) and CRISPR/Cas12a/LFS (C) .

    Journal: Frontiers in Microbiology

    Article Title: Rapid detection of feline parvovirus using RAA-CRISPR/Cas12a-based lateral flow strip and fluorescence

    doi: 10.3389/fmicb.2025.1501635

    Figure Lengend Snippet: Evaluation of the specificity of RAA-CRISPR/Cas12a/FLUOR and RAA-CRISPR/Cas12a/LFS. Product detection using CRISPR/Cas12a/FLUOR and CRISPR/Cas12a/LFS. RAA was used to detect DNA or cDNA of FPV, FHV, FCV, and FCoV. Then the products were detected by CRISPR/Cas12a/FLUOR (A,B) and CRISPR/Cas12a/LFS (C) .

    Article Snippet: The DF2 strain (ATCC VR-2004) of feline coronavirus (FCoV) was purchased from ATCC and cultured in CRFK cell.

    Techniques: CRISPR