{"id":"W2894078121","doi":"10.1080/15476286.2018.1526561","title":"RNA-Seq employing a novel rRNA depletion strategy reveals a rich repertoire of snoRNAs in <i>Euglena gracilis</i> including box C/D and Ψ-guide RNAs targeting the modification of rRNA extremities","year":2018,"lang":"en","type":"article","venue":"RNA Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Small nucleolar RNA; Biology; Euglena gracilis; Ribosomal RNA; RNA; Repertoire; Pseudouridine; Non-coding RNA; Guide RNA; Computational biology; Long non-coding RNA; microRNA; Genetics; Cell biology; Transfer RNA; Genome; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001192256,0.0002979678,0.0002875392,0.0002652164,0.0002294225,0.0004968974,0.0002613191,0.0002787298,0.0007299018],"category_scores_gemma":[0.0001300079,0.0001257285,0.0002813927,0.0002770382,0.0001793502,0.0001636292,0.0002263137,0.0004516086,0.0004641254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575119,"about_ca_system_score_gemma":0.0002588708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126116,"about_ca_topic_score_gemma":0.003119047,"domain_scores_codex":[0.9998617,0.000007111502,0.00001001886,0.00006107835,0.00003999982,0.00002000898],"domain_scores_gemma":[0.9999149,0.00002118495,0.00002602713,0.00000904951,0.00001331533,0.00001551559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000339302,0.000003999146,0.0002464764,0.00002023952,0.000002353256,0.00001646466,0.00001060257,0.00005593024,0.9981797,0.00003157785,0.00003582729,0.001362853],"study_design_scores_gemma":[0.00001380827,0.000139353,0.04293311,0.0000168657,0.00003695694,0.0002312791,0.00008716516,0.005049584,0.9427176,0.0001459335,0.008604398,0.00002403075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692069,0.0006887523,0.01868461,0.0001778265,0.00004266371,0.00006608666,0.007476411,0.0007960917,0.002860643],"genre_scores_gemma":[0.9245372,0.0009955785,0.04478956,0.0006424509,0.00002634171,0.0001763237,0.02118766,0.0003620651,0.007282894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001126116,"threshold_uncertainty_score":0.002441704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173778256433606,"score_gpt":0.2918194539549057,"score_spread":0.2500816713905696,"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."}}