Extended Data Fig. 7: Comparison between RNA Immunoprecipitation Sequencing (RIP-seq) and PRIM-seq data. | Nature Biotechnology

Extended Data Fig. 7: Comparison between RNA Immunoprecipitation Sequencing (RIP-seq) and PRIM-seq data.

From: Genome-wide mapping of RNA-protein associations through sequencing

Extended Data Fig. 7: Comparison between RNA Immunoprecipitation Sequencing (RIP-seq) and PRIM-seq data.The alternative text for this image may have been generated using AI.

(a) Confusion matrix of all human RNA genes categorized according to their identification as SMC1A targets by PRIM-seq (rows) and RIP-seq (columns). (b) Chi-square test results derived from the confusion matrix in (a). (c–f) ROC curves evaluating PRIM-seq data against RIP-seq results for SMC1A, SMC3, RAD21, and HDAC2. RIP-seq-identified targets serve as the reference sets, and varying thresholds on PRIM-seq read counts are applied to define PRIM-seq-identified targets. (g–j) Expanded views of the ROC curves in (c–f), highlighting lower values on the x-axis. (k) Confusion matrix based solely on PRIM-seq reads within the HuRPA network, categorizing reads according to whether the protein-end maps to SMC1A (rows) and whether the RNA-end corresponds to SMC1A RIP-seq–identified target RNAs (columns). (l) Chi-square test results from the confusion matrix shown in (k). (m) Chi-square test results from a restricted version of the confusion matrix in (k), using only PRIM-seq reads involving SMC1A, SMC3, RAD21, and HDAC2 and their respective RIP-seq–identified target RNAs.

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