2025-08-27 15:31:32,540 - INFO - Starting maelstrom 2025-08-27 15:31:32,555 - INFO - Input is not mean-centered, setting the mean of all rows to 0. 2025-08-27 15:31:32,555 - INFO - Use --nocenter if you know what you're doing and want to change this behavior. 2025-08-27 15:31:32,555 - INFO - Note that if you use count data (ChIP-seq, ATAC-seq) we recommend to first transform your data, for instance using log2(), and to normalize between samples. To create a table suitable for maelstrom you can use the coverage_table script included with GimmeMotifs. 2025-08-27 15:31:32,620 - INFO - motif scanning (counts) 2025-08-27 15:31:32,621 - INFO - reading table 2025-08-27 15:31:35,245 - INFO - setting threshold 2025-08-27 15:31:41,981 - INFO - creating count table 2025-08-27 15:32:37,215 - INFO - done 2025-08-27 15:32:37,216 - INFO - creating dataframe 2025-08-27 15:32:49,241 - INFO - motif scanning (scores) 2025-08-27 15:32:49,242 - INFO - reading table 2025-08-27 15:32:56,288 - INFO - creating score table (z-score, GC%) 2025-08-27 15:35:26,891 - INFO - done 2025-08-27 15:35:26,892 - INFO - creating dataframe 2025-08-27 15:37:48,623 - WARNING - Skipping xgboost. Reason: Optional dependency xgboost is required. 2025-08-27 15:37:52,450 - INFO - Fitting BayesianRidge 0%| | 0/3 [00:00