{"id":"W2066358656","doi":"10.1016/j.ab.2015.03.033","title":"Multiplex gene removal by two-step polymerase chain reactions","year":2015,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; Carnegie Institution for Science; McMaster University","keywords":"Restriction enzyme; Plasmid; Cloning (programming); Multiplex polymerase chain reaction; DNA ligase; Polymerase chain reaction; Ligase chain reaction; Synthetic biology; Gene; Molecular cloning; Biology; DNA; Computational biology; In vitro recombination; Inverse polymerase chain reaction; Sequencing by ligation; Restriction site; Restriction digest; Molecular biology; Genetics; Genomic library; Computer science; Complementary DNA; Base sequence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004153415,0.005392848,0.004515233,0.002465053,0.0009316818,0.001934717,0.002902637,0.002052328,0.005284642],"category_scores_gemma":[0.006398517,0.003220971,0.002998466,0.0015801,0.001754982,0.001527814,0.002939134,0.005474818,0.008231253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007722522,"about_ca_system_score_gemma":0.002405852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006281468,"about_ca_topic_score_gemma":0.001576076,"domain_scores_codex":[0.9915855,0.0013912,0.0007155432,0.003036519,0.002031978,0.001239324],"domain_scores_gemma":[0.994128,0.002670912,0.0004632767,0.001233862,0.001069283,0.0004347044],"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":[0.0005784235,0.0002706555,0.0004569462,0.0004898898,0.00009986568,0.0001578134,0.0001895696,0.0004594573,0.9670218,0.001378736,0.001375488,0.02752128],"study_design_scores_gemma":[0.00008117511,0.0004027616,0.0006816279,0.00004357157,0.0001251809,0.0002083598,0.00003154305,0.005344163,0.9848022,0.0006907663,0.00751248,0.00007617707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02569544,0.0006578772,0.9667493,0.000145304,0.0003360791,0.001381068,0.0005778683,0.00337229,0.001084841],"genre_scores_gemma":[0.08426286,0.001321051,0.8948252,0.0004508608,0.0001396933,0.004498648,0.003213771,0.001074423,0.01021345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005392848,"threshold_uncertainty_score":0.02196562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306492052958629,"score_gpt":0.2596234863842925,"score_spread":0.2465585658547062,"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."}}