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redcap web based software platform  (STATA Corporation)


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    STATA Corporation redcap web based software platform
    Redcap Web Based Software Platform, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 35521 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/web-based+platform+system/STATA+16%2E0/pm41267012-76-9-18
    Average 99 stars, based on 35521 article reviews
    redcap web based software platform - by Bioz Stars, 2026-10
    99/100 stars

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    Article Title: Rural-Urban Differences in the Association Between Reproductive Coercion and Postpartum Family Planning.
    Article Snippet: All analyses were conducted using Stata version 16.1 (StataCorp 2019).

    Article Title: Socioeconomic and regional determinants of optimal antenatal care utilization among women in South and Central Somalia
    Article Snippet: The SDHS 2020 data were analyzed using STATA 16.

    Article Title: First dual-frame telephone survey for non-communicable disease risk and protective factors: Methods and main findings from a central Brazilian state, 2022
    Article Snippet: All analyses considered a 5 % significance level and were conducted using the survey module for complex samples in Stata version 16.0.

    Article Title: Drug resistance pulmonary tuberculosis among prisoners in Ethiopia: A systematic review and meta -analysis
    Article Snippet: Stata version 16 (Stata Corp LP, College Station, TX) was used for analysis.

    Software:

    Article Title: Drug resistance pulmonary tuberculosis among prisoners in Ethiopia: A systematic review and meta -analysis
    Article Snippet: .. Meta-analysis was computed using STATA version 16 software. ..

    Article Title: Hepatitis B virus testing, vaccination, and hepatitis B surface antigen prevalence among adult inpatients at an urban polyclinic in Accra, Ghana: a cross-sectional study
    Article Snippet: .. The data were analysed using STATA version 16.0 (Stata Statistical Software: Release 16; StataCorp LLC, College Station, Texas, USA). ..



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    a , Schematic of the CRISPR–Cas9 knockout strategy targeting slc45a2 , designed to induce a visible pigmentation-loss phenotype for screening. Representative brightfield images of 6 and 21 dpf WT and cr slc45a2 zebrafish show loss of melanin pigmentation in mutants. b , Schematic of CRISPR guide RNA target sites (aa and ab) on the slc45a2 gene with representative Sanger sequencing traces and ICE analysis of indels from 7 dpf larvae injected at the one-cell stage with both guides. c , Indel efficiency rates for each slc45a2 CRISPR target site. d , Schematic of CRISPR guide RNA target sites (aa and ab) on the tgr5 gene with representative Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with tgr5 and slc45a2 guides (latter not shown). e , Indel efficiency rates for each tgr5 CRISPR target site. f , Schematic of the CRISPR target site (ab) on cyp7a1 with corresponding Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with cyp7a1 and slc45a2 guides (latter not shown). g , Indel efficiency rates for the cyp7a1 CRISPR target site. h-k , Biometrics of body length ( h , standard length, SL), muscle width ( i ), liver size ( j ) and adipose tissue size ( k ) in WT cr slc45a2 , WT cr tgr5 and WT cr cyp7a1 zebrafish at 21 dpf. l , Heat map of selected adipogenic, lipolytic, myogenic, proteolytic and inflammatory gene expression profiles in pooled WT, crslc45a2 , crtgr5 and crcyp7a1 zebrafish at 21 dpf, determined by bulk RNA-seq (n = 4 samples of 5 fish per condition). All data are mean ± s.e.m. P values were determined by one-way ANOVA with Tukey’s multiple-comparisons test ( h,i ) and Kruskal–Wallis test with Dunn’s multiple-comparisons post hoc adjustment ( j,k ). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

    Journal: bioRxiv

    Article Title: YAP disrupts bile acid homeostasis to drive cancer-associated cachexia

    doi: 10.64898/2026.02.01.702698

    Figure Lengend Snippet: a , Schematic of the CRISPR–Cas9 knockout strategy targeting slc45a2 , designed to induce a visible pigmentation-loss phenotype for screening. Representative brightfield images of 6 and 21 dpf WT and cr slc45a2 zebrafish show loss of melanin pigmentation in mutants. b , Schematic of CRISPR guide RNA target sites (aa and ab) on the slc45a2 gene with representative Sanger sequencing traces and ICE analysis of indels from 7 dpf larvae injected at the one-cell stage with both guides. c , Indel efficiency rates for each slc45a2 CRISPR target site. d , Schematic of CRISPR guide RNA target sites (aa and ab) on the tgr5 gene with representative Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with tgr5 and slc45a2 guides (latter not shown). e , Indel efficiency rates for each tgr5 CRISPR target site. f , Schematic of the CRISPR target site (ab) on cyp7a1 with corresponding Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with cyp7a1 and slc45a2 guides (latter not shown). g , Indel efficiency rates for the cyp7a1 CRISPR target site. h-k , Biometrics of body length ( h , standard length, SL), muscle width ( i ), liver size ( j ) and adipose tissue size ( k ) in WT cr slc45a2 , WT cr tgr5 and WT cr cyp7a1 zebrafish at 21 dpf. l , Heat map of selected adipogenic, lipolytic, myogenic, proteolytic and inflammatory gene expression profiles in pooled WT, crslc45a2 , crtgr5 and crcyp7a1 zebrafish at 21 dpf, determined by bulk RNA-seq (n = 4 samples of 5 fish per condition). All data are mean ± s.e.m. P values were determined by one-way ANOVA with Tukey’s multiple-comparisons test ( h,i ) and Kruskal–Wallis test with Dunn’s multiple-comparisons post hoc adjustment ( j,k ). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

    Article Snippet: Indels in the sequenced data were analysed using the Inference of CRISPR Edits (ICE) web-based platform (Synthego).

    Techniques: CRISPR, Knock-Out, Sequencing, Injection, Gene Expression, RNA Sequencing