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v.9 software package  (SAS institute)


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    SAS institute v.9 software package
    V.9 Software Package, supplied by SAS institute, 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/v%2E9+software+package/v+9+4+statistical+software/10__1016_slash_j__anifeedsci__2021__115020-138-7-10
    Average 90 stars, based on 1 article reviews
    v.9 software package - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Amylose and amylopectin levels affect the growth performance and metabolism in pacu Piaractus mesopotamicus
    Article Snippet: Starch is a complex carbohydrate that is widely used in animal feed, and its structural characteristics may affect its utilization.. This study evaluated different amylose and amylopectin levels on carbohydrate metabolism and growth of the frugivorous pacu (Piaractus mesopotamicus).. Pacu juveniles (n = 216) were distributed in 24 tanks (130-L) and fed until apparent satiation for 90 days.



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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Journal: Scientific reports

    Article Title: Leaf tissue metabolomics fingerprinting of Citronella gongonha Mart. by 1 H HR-MAS NMR.

    doi: 10.1038/s41598-022-22708-w

    Figure Lengend Snippet: Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Article Snippet: The data was preprocessed in the analysis of mixture (AMIX) v. 3.9.12 software package (Bruker BioSpin).

    Techniques: Software, Produced

    Figure 5. Stacked spectra of 1H HR-MAS NMR exhibiting peaks of the discriminatory metabolites in comparison with PCA. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnmac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp. org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid- Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O- methylmorroniside; 8, (7β)-7-O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Journal: Scientific reports

    Article Title: Leaf tissue metabolomics fingerprinting of Citronella gongonha Mart. by 1 H HR-MAS NMR.

    doi: 10.1038/s41598-022-22708-w

    Figure Lengend Snippet: Figure 5. Stacked spectra of 1H HR-MAS NMR exhibiting peaks of the discriminatory metabolites in comparison with PCA. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnmac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp. org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid- Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O- methylmorroniside; 8, (7β)-7-O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Article Snippet: The data was preprocessed in the analysis of mixture (AMIX) v. 3.9.12 software package (Bruker BioSpin).

    Techniques: Comparison, Software, Produced