{"id":"W4402853960","doi":"10.1093/nargab/lqae122","title":"eQTL-Detect: nextflow-based pipeline for eQTL detection in modular format with sharable and parallelizable scripts","year":2024,"lang":"en","type":"article","venue":"NAR Genomics and Bioinformatics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"European Commission","keywords":"Pipeline (software); Expression quantitative trait loci; Computer science; Workflow; Modular design; Scripting language; Parallelizable manifold; Orchestration; Data mining; Database; Programming language; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004373233,0.001789341,0.0008577973,0.001371824,0.001123851,0.001884149,0.002340611,0.001024457,0.01507948],"category_scores_gemma":[0.005672046,0.001362975,0.001791823,0.0007975674,0.000907452,0.002632316,0.002261847,0.003107981,0.006375938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116745,"about_ca_system_score_gemma":0.00248478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565664,"about_ca_topic_score_gemma":0.002124726,"domain_scores_codex":[0.9987657,0.0001929038,0.0001366337,0.0004691352,0.0002819197,0.0001536928],"domain_scores_gemma":[0.9980221,0.0008464619,0.000181691,0.0003957679,0.0003712029,0.0001828521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005440908,0.001122876,0.01688087,0.002182651,0.0008219678,0.001483211,0.00219797,0.03045644,0.3413619,0.03703087,0.2147841,0.3462363],"study_design_scores_gemma":[0.0009843284,0.0004912264,0.006145708,0.0001892354,0.0002376579,0.0007663645,0.0001525712,0.3650308,0.3796158,0.0432958,0.2025637,0.0005270007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009516222,0.0001209437,0.7475485,0.0003131207,0.0001744146,0.0005426875,0.009506526,0.2301955,0.002082215],"genre_scores_gemma":[0.07772823,0.0002173811,0.8465667,0.0008669544,0.00009356654,0.002722041,0.04215153,0.02449729,0.005156263],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01507948,"threshold_uncertainty_score":0.05044585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964774568446424,"score_gpt":0.204941824025147,"score_spread":0.1952940783406827,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}