{"id":"W1590683934","doi":"10.1186/1472-6750-6-13","title":"Modification of the Creator recombination system for proteomics applications – improved expression by addition of splice sites","year":2006,"lang":"en","type":"article","venue":"BMC Biotechnology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; National Cancer Institute; Genome Canada","keywords":"Biology; RNA splicing; Computational biology; Genetics; Cloning (programming); Open reading frame; Multiple cloning site; Expression vector; Cre recombinase; Shuttle vector; Gene; Vector (molecular biology); Computer science; Recombinant DNA; Peptide sequence; Transgene","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":[0.001138032,0.0009228508,0.0006308534,0.0005583264,0.0002561356,0.0007853149,0.0009288246,0.0007659237,0.001360014],"category_scores_gemma":[0.0008231213,0.0004002965,0.0009255471,0.0004787167,0.0003517595,0.0007580435,0.0004583354,0.001890581,0.001612901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002983027,"about_ca_system_score_gemma":0.0005045139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002311586,"about_ca_topic_score_gemma":0.0002757606,"domain_scores_codex":[0.9991713,0.0001255943,0.0001521138,0.0001677556,0.0002968965,0.00008635106],"domain_scores_gemma":[0.9991701,0.0001548108,0.0002650792,0.0001600038,0.000181106,0.00006905619],"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":[0.00003365051,0.00003601012,0.0001320739,0.00006897285,0.000009077543,0.00008580863,0.00001609772,0.0000741996,0.9966506,0.0001491582,0.00008713274,0.002657229],"study_design_scores_gemma":[0.000007936602,0.0001158066,0.000535783,0.000009343918,0.00002850312,0.0005347814,0.000007321861,0.0005269227,0.9916305,0.00004461783,0.006548809,0.000009794957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.585281,0.003748142,0.401082,0.0006189428,0.0005392665,0.001003982,0.001637495,0.00216676,0.003922376],"genre_scores_gemma":[0.5809715,0.006217863,0.3885189,0.0005777493,0.0001774935,0.0008721975,0.009421539,0.0009402927,0.01230241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001360014,"threshold_uncertainty_score":0.006018579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008237387125075641,"score_gpt":0.2224728764135324,"score_spread":0.2142354892884568,"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."}}