2025-08-27 11:56:43,181 - INFO - Starting maelstrom 2025-08-27 11:56:43,196 - INFO - Input is not mean-centered, setting the mean of all rows to 0. 2025-08-27 11:56:43,196 - INFO - Use --nocenter if you know what you're doing and want to change this behavior. 2025-08-27 11:56:43,196 - 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 11:56:43,259 - INFO - motif scanning (counts) 2025-08-27 11:56:43,259 - INFO - reading table 2025-08-27 11:56:43,506 - INFO - using 14000 sequences 2025-08-27 11:56:59,965 - INFO - setting threshold 2025-08-27 11:57:03,431 - INFO - creating count table 2025-08-27 11:57:08,386 - INFO - done 2025-08-27 11:57:08,386 - INFO - creating dataframe 2025-08-27 11:57:08,712 - INFO - motif scanning (scores) 2025-08-27 11:57:08,712 - INFO - reading table 2025-08-27 11:57:09,167 - INFO - creating score table (z-score, GC%) 2025-08-27 11:57:18,039 - INFO - done 2025-08-27 11:57:18,039 - INFO - creating dataframe 2025-08-27 11:57:19,723 - WARNING - Skipping xgboost. Reason: Optional dependency xgboost is required. 2025-08-27 11:57:19,790 - INFO - Fitting BayesianRidge 0%| | 0/3 [00:00