{"id":"W4403527885","doi":"10.1016/j.csbj.2024.10.025","title":"PIMMS-Dash: Accessible analysis, interrogation, and visualisation of high-throughput transposon insertion sequencing (TIS) data","year":2024,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; International Development Research Centre","keywords":"Dash; Transposable element; Throughput; Computational biology; Sleeping Beauty transposon system; Computer science; Biology; Genetics; Genome; Telecommunications; Operating system; Gene; Wireless","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":[0.007019359,0.002928243,0.001805362,0.003700037,0.001637042,0.005415805,0.005575435,0.002428898,0.1000555],"category_scores_gemma":[0.02139065,0.001467724,0.00238212,0.004275406,0.001139322,0.007300451,0.006460762,0.004295638,0.06723543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418091,"about_ca_system_score_gemma":0.002993727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004975731,"about_ca_topic_score_gemma":0.005840177,"domain_scores_codex":[0.9963177,0.0005742895,0.0003609578,0.00082177,0.001649917,0.000275326],"domain_scores_gemma":[0.9887893,0.004768171,0.0006905672,0.002100639,0.002344879,0.00130641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002631097,0.0002485449,0.003435424,0.002945443,0.0003790121,0.0007857245,0.001088928,0.004234862,0.02250353,0.007523325,0.8906972,0.06352685],"study_design_scores_gemma":[0.0007944459,0.0003178158,0.009776787,0.001082113,0.0001742301,0.0006979985,0.0007482733,0.06223001,0.06327005,0.03169429,0.8286366,0.0005774422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.008235186,0.0005788814,0.1073413,0.001951031,0.0009650306,0.0004460673,0.2706122,0.5944424,0.01542791],"genre_scores_gemma":[0.05740637,0.001730996,0.2489655,0.001655309,0.0004031386,0.001874754,0.5311979,0.1323086,0.02445739],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1000555,"threshold_uncertainty_score":0.3347191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496799233490808,"score_gpt":0.2903010968198822,"score_spread":0.2653331044849741,"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."}}