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Identification of Bacterial ASVs that fit with the neutral model expectation or that deviate from the neutral model expectation.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Identification_of_Bacterial_ASVs_that_fit_with_the_neutral_model_expectation_or_that_deviate_from_the_neutral_model_expectation_/28271787
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The sheets SNM_DB, SNM_DC and SNM_ZC show the results of the identification for D. bivitattus, D. ciliatus and Z. cucurbitae respectively. The sheet Shared_Negative shows the ASVs that are less prevalent than expected in every cucurbit feeder (Below) while the sheet Shared_Positive shows the ASVs that are more prevalent than expected in every cucurbit feeder (Above). p = observed mean relative abundance, freq = observed prevalence of ASV, freq.pred = predicted prevalence of ASV, pred.lwr and pred.upr show the lower and upper confidence interval. bino.pred, bino.lwr, bino.upr, pois.pred and pois.lwr provide the predicted frequency, lower confidence interval and upper confidence interval for the binomial and Poisson model respectively. Type gives the identification of the ASV as to whether it fits the neutral expectation (Neutral) or is Above or Below the confidence interval. (XLSX)
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2025-01-24
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