PMC:7519301 / 38306-38834 JSONTXT

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    LitCovid-PD-FMA-UBERON

    {"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T114","span":{"begin":12,"end":16},"obj":"Body_part"},{"id":"T115","span":{"begin":49,"end":53},"obj":"Body_part"},{"id":"T116","span":{"begin":115,"end":119},"obj":"Body_part"}],"attributes":[{"id":"A114","pred":"fma_id","subj":"T114","obj":"http://purl.org/sig/ont/fma/fma74402"},{"id":"A115","pred":"fma_id","subj":"T115","obj":"http://purl.org/sig/ont/fma/fma74402"},{"id":"A116","pred":"fma_id","subj":"T116","obj":"http://purl.org/sig/ont/fma/fma74402"}],"text":"Subsampling Gene Alignments.\nAlignments for each gene were subsampled for sequence and phylogenetic analyses. Each gene alignment was randomly subsampled 100 times per collection date at 5%, 10%, 20%, 30%, and 40%. When fewer than 10 sequences were available for a collection date, all sequences were taken. Median Hamming distances were computed for each set of subsampled alignments. These were bootstrapped 100,000 times, and 95% CIs were estimated and compared to the median Hamming distance for the fully sampled alignment."}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T286","span":{"begin":12,"end":16},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T287","span":{"begin":49,"end":53},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T288","span":{"begin":115,"end":119},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T289","span":{"begin":263,"end":264},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Subsampling Gene Alignments.\nAlignments for each gene were subsampled for sequence and phylogenetic analyses. Each gene alignment was randomly subsampled 100 times per collection date at 5%, 10%, 20%, 30%, and 40%. When fewer than 10 sequences were available for a collection date, all sequences were taken. Median Hamming distances were computed for each set of subsampled alignments. These were bootstrapped 100,000 times, and 95% CIs were estimated and compared to the median Hamming distance for the fully sampled alignment."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T234","span":{"begin":0,"end":28},"obj":"Sentence"},{"id":"T235","span":{"begin":29,"end":109},"obj":"Sentence"},{"id":"T236","span":{"begin":110,"end":214},"obj":"Sentence"},{"id":"T237","span":{"begin":215,"end":307},"obj":"Sentence"},{"id":"T238","span":{"begin":308,"end":385},"obj":"Sentence"},{"id":"T239","span":{"begin":386,"end":528},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Subsampling Gene Alignments.\nAlignments for each gene were subsampled for sequence and phylogenetic analyses. Each gene alignment was randomly subsampled 100 times per collection date at 5%, 10%, 20%, 30%, and 40%. When fewer than 10 sequences were available for a collection date, all sequences were taken. Median Hamming distances were computed for each set of subsampled alignments. These were bootstrapped 100,000 times, and 95% CIs were estimated and compared to the median Hamming distance for the fully sampled alignment."}