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Differential Expression Analysis of C. parvum Proteins.

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Figshare2025-10-23 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Differential_Expression_Analysis_of_i_C_parvum_i_Proteins_/30431305
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The table (attached as csv file) presents a summary of the differential expression analysis results. Each row corresponds to a unique gene characterized by the following attributes: “Gene_acc”: a unique integer identifier. “Gene_id”: The gene identifier from CryptoDB. “logFC”: The logarithm (base 2) of the fold change in TMT intensity between the WT (wild type) and KO (∆cowp8) samples as computed by the limma R package. “log_AveExpr”: The logarithm (base 2) of the average gene expression level across all samples as computed by the limma R package. “FDR”: The False Discovery Rate-adjusted p-value. Desc: The gene description from CryptoDB. “WT_1” to “WT_4”: The MaxQuant quantified TMT intensity levels for each of wild-type replicates, normalized and fed to the limma package. “KO_1” to “KO_4”: TheMaxQuant quantified TMT intensity levels for each of the overexpression condition, normalized and fed to the limma R package. For enhanced visualization and exploratory data analysis, the table has been formatted to be compatible with the interactive plotting tool available at https://plothub.pages.dev/. This online resource provides an intuitive graphical representation of the data, allowing for immediate visual assessment and interpretation. (CSV)
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2025-10-23
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