{"id":"W2112439337","doi":"10.1109/tvcg.2009.116","title":"ABySS-Explorer: Visualizing Genome Sequence Assemblies","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Visualization; Computer science; Bottleneck; Data visualization; Sequence assembly; Sequence (biology); Process (computing); Encoding (memory); Alignment-free sequence analysis; Data mining; Artificial intelligence; Sequence alignment; Programming language; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567163,0.001416256,0.0005278297,0.002027109,0.0004833675,0.001791239,0.00138577,0.0008669548,0.01806901],"category_scores_gemma":[0.00428739,0.0004395481,0.0007231506,0.001041156,0.0004291383,0.001716515,0.002180821,0.001243812,0.002406481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000348704,"about_ca_system_score_gemma":0.0007045299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002334093,"about_ca_topic_score_gemma":0.002519814,"domain_scores_codex":[0.9995539,0.0001643732,0.00002995634,0.00005526933,0.0001570199,0.00003953276],"domain_scores_gemma":[0.9978835,0.001322307,0.0001118286,0.0001687802,0.0003138376,0.000199747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002595374,0.0002818105,0.004726395,0.002852149,0.0002617903,0.001584961,0.009882394,0.0336227,0.1782206,0.04617927,0.2225951,0.4971975],"study_design_scores_gemma":[0.0006968986,0.0004818267,0.007602159,0.0006616559,0.000173476,0.001712693,0.001846867,0.3783589,0.1105619,0.05626967,0.4412187,0.0004153028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02437535,0.000481695,0.8442236,0.0007931721,0.0001935601,0.0002368008,0.006048802,0.1170153,0.006631579],"genre_scores_gemma":[0.1582909,0.000855867,0.8138118,0.0002945133,0.00009875523,0.0006102604,0.006230966,0.01355588,0.006251018],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01806901,"threshold_uncertainty_score":0.0604468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865651636564084,"score_gpt":0.2884466035333745,"score_spread":0.2597900871677337,"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."}}