2025-08-27 12:05:28,834 - INFO - Starting maelstrom 2025-08-27 12:05:28,848 - INFO - Input is not mean-centered, setting the mean of all rows to 0. 2025-08-27 12:05:28,848 - INFO - Use --nocenter if you know what you're doing and want to change this behavior. 2025-08-27 12:05:28,848 - 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 12:05:28,916 - INFO - motif scanning (counts) 2025-08-27 12:05:28,916 - INFO - reading table 2025-08-27 12:05:31,316 - INFO - setting threshold 2025-08-27 12:06:48,486 - INFO - creating count table 2025-08-27 12:07:44,618 - INFO - done 2025-08-27 12:07:44,619 - INFO - creating dataframe 2025-08-27 12:07:56,032 - INFO - motif scanning (scores) 2025-08-27 12:07:56,032 - INFO - reading table 2025-08-27 12:08:02,720 - INFO - creating score table (z-score, GC%) 2025-08-27 12:13:51,361 - INFO - done 2025-08-27 12:13:51,361 - INFO - creating dataframe 2025-08-27 12:16:11,637 - WARNING - Skipping xgboost. Reason: Optional dependency xgboost is required. 2025-08-27 12:16:15,446 - INFO - Fitting BayesianRidge 0%| | 0/3 [00:00