{"id":"W2626546666","doi":"10.1038/s41598-017-03987-0","title":"Multiplexed Spliced-Leader Sequencing: A high-throughput, selective method for RNA-seq in Trypanosomatids","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"Departement Economie, Wetenschap en Innovatie; Fonds Wetenschappelijk Onderzoek; National Institute of Allergy and Infectious Diseases; Vlaamse regering; Universiteit Antwerpen; Vlaams Supercomputer Centrum","keywords":"Biology; RNA; RNA-Seq; Computational biology; RNA splicing; Transcriptome; DNA sequencing; Deep sequencing; Leishmania; Gene; Genetics; Gene expression; Genome; Parasite hosting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659166,0.0002319473,0.0004902629,0.0003749774,0.00108868,0.0005167724,0.0003290665,0.0001606368,0.0001257367],"category_scores_gemma":[0.003732743,0.0002014178,0.0002005843,0.0004711478,0.0004954724,0.0004679523,0.0001549301,0.0003149649,0.00003874509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931986,"about_ca_system_score_gemma":0.001082191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008509109,"about_ca_topic_score_gemma":0.000538543,"domain_scores_codex":[0.9965507,0.00006537245,0.0007086738,0.001197676,0.0007004403,0.0007770702],"domain_scores_gemma":[0.9960362,0.0001696596,0.0003581225,0.002455405,0.0006341678,0.00034648],"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":[0.00008177633,0.0002220878,0.003409954,0.00009837726,0.00005666301,0.0002178847,0.0006576335,0.00001690356,0.969878,0.0008432792,0.01977791,0.004739523],"study_design_scores_gemma":[0.002840806,0.000383142,0.3249123,0.0002363967,0.00008337194,0.001035149,0.0007565657,0.002677754,0.5924112,0.02302892,0.05113701,0.0004974199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550554,0.0001482112,0.01342868,0.007867418,0.004015857,0.004995824,0.00005875976,0.0002371527,0.01419273],"genre_scores_gemma":[0.9161374,0.000005428696,0.07072963,0.0001059517,0.0002321759,0.0005133987,0.0001154248,0.00004163198,0.01211897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3774669,"threshold_uncertainty_score":0.8373357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07497920511333533,"score_gpt":0.3956169609536044,"score_spread":0.3206377558402691,"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."}}