{"id":"W2149770991","doi":"10.1371/journal.pone.0006864","title":"Whole Genome Amplification and De novo Assembly of Single Bacterial Cells","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":265,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Broad Institute; U.S. Department of Energy; Gordon and Betty Moore Foundation; National Institutes of Health; U.S. Department of Health and Human Services; National Science Foundation","keywords":"Genome; Sequence assembly; Multiple displacement amplification; Contig; Biology; Computational biology; DNA sequencing; Deep sequencing; Whole genome sequencing; Genomics; Genetics; Reference genome; Bacterial genome size; DNA; Gene; Polymerase chain reaction; Transcriptome","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":[0.001277596,0.0009929248,0.001000369,0.000710749,0.0004900057,0.0009891748,0.0009795509,0.00080504,0.001555574],"category_scores_gemma":[0.002472774,0.0008728964,0.0009034688,0.000663678,0.0005430487,0.000668905,0.001326427,0.00182265,0.002152563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006206947,"about_ca_system_score_gemma":0.0008395571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210434,"about_ca_topic_score_gemma":0.002072589,"domain_scores_codex":[0.9989422,0.0002154677,0.00009016379,0.0003333219,0.000319752,0.000099169],"domain_scores_gemma":[0.9988481,0.0003644314,0.0001487555,0.0003158785,0.0002485859,0.000074286],"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":[0.0001012478,0.00003778467,0.000550637,0.0001847955,0.00002674112,0.00008152847,0.0001165832,0.003340252,0.9778708,0.0008383829,0.0002155374,0.01663568],"study_design_scores_gemma":[0.00001812726,0.0001375175,0.001344933,0.00001903893,0.00002767492,0.0001903283,0.00003734071,0.02587263,0.9639041,0.0006636162,0.007756415,0.00002812216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.150728,0.001030036,0.8416175,0.0001797563,0.0001071916,0.0004633337,0.001308586,0.00245385,0.002111599],"genre_scores_gemma":[0.2368963,0.0012774,0.7503014,0.0001124179,0.00002669675,0.0006619198,0.005927577,0.0006052364,0.004191037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001555574,"threshold_uncertainty_score":0.006756663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984193161847208,"score_gpt":0.2065213218140294,"score_spread":0.1866793901955573,"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."}}