PMC:7354481 / 12352-12815 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T74","span":{"begin":118,"end":124},"obj":"Body_part"},{"id":"T75","span":{"begin":218,"end":220},"obj":"Body_part"}],"attributes":[{"id":"A74","pred":"fma_id","subj":"T74","obj":"http://purl.org/sig/ont/fma/fma84116"},{"id":"A75","pred":"fma_id","subj":"T75","obj":"http://purl.org/sig/ont/fma/fma13442"}],"text":"2.2. miR Prediction\nThe miRTarget and miRBase programmes were used to predict the similarities between the SARS-CoV-2 genome and human miRs; e-value \u003c10 and score \u003e70 were considered as significant. DianaTools miRPath V3 were then used to create heat maps for pathways affected by selected miRs, focusing on the microT-CDS version 5.0 database. The p value threshold was 0.05 and microT threshold was 0.8. Heatmap analysis was done with pathway intersection [24]."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T51","span":{"begin":107,"end":115},"obj":"Disease"}],"attributes":[{"id":"A51","pred":"mondo_id","subj":"T51","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"}],"text":"2.2. miR Prediction\nThe miRTarget and miRBase programmes were used to predict the similarities between the SARS-CoV-2 genome and human miRs; e-value \u003c10 and score \u003e70 were considered as significant. DianaTools miRPath V3 were then used to create heat maps for pathways affected by selected miRs, focusing on the microT-CDS version 5.0 database. The p value threshold was 0.05 and microT threshold was 0.8. Heatmap analysis was done with pathway intersection [24]."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T114","span":{"begin":129,"end":134},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T115","span":{"begin":218,"end":220},"obj":"http://purl.obolibrary.org/obo/CLO_0050428"},{"id":"T116","span":{"begin":296,"end":304},"obj":"http://purl.obolibrary.org/obo/CLO_0009985"}],"text":"2.2. miR Prediction\nThe miRTarget and miRBase programmes were used to predict the similarities between the SARS-CoV-2 genome and human miRs; e-value \u003c10 and score \u003e70 were considered as significant. DianaTools miRPath V3 were then used to create heat maps for pathways affected by selected miRs, focusing on the microT-CDS version 5.0 database. The p value threshold was 0.05 and microT threshold was 0.8. Heatmap analysis was done with pathway intersection [24]."}

{"project":"LitCovid-sentences","denotations":[{"id":"T79","span":{"begin":0,"end":19},"obj":"Sentence"},{"id":"T80","span":{"begin":20,"end":198},"obj":"Sentence"},{"id":"T81","span":{"begin":199,"end":344},"obj":"Sentence"},{"id":"T82","span":{"begin":345,"end":405},"obj":"Sentence"},{"id":"T83","span":{"begin":406,"end":463},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"2.2. miR Prediction\nThe miRTarget and miRBase programmes were used to predict the similarities between the SARS-CoV-2 genome and human miRs; e-value \u003c10 and score \u003e70 were considered as significant. DianaTools miRPath V3 were then used to create heat maps for pathways affected by selected miRs, focusing on the microT-CDS version 5.0 database. The p value threshold was 0.05 and microT threshold was 0.8. Heatmap analysis was done with pathway intersection [24]."}

{"project":"2_test","denotations":[{"id":"32512929-28382917-144200713","span":{"begin":459,"end":461},"obj":"28382917"}],"text":"2.2. miR Prediction\nThe miRTarget and miRBase programmes were used to predict the similarities between the SARS-CoV-2 genome and human miRs; e-value \u003c10 and score \u003e70 were considered as significant. DianaTools miRPath V3 were then used to create heat maps for pathways affected by selected miRs, focusing on the microT-CDS version 5.0 database. The p value threshold was 0.05 and microT threshold was 0.8. Heatmap analysis was done with pathway intersection [24]."}

{"project":"LitCovid-PubTator","denotations":[{"id":"216","span":{"begin":107,"end":117},"obj":"Species"},{"id":"217","span":{"begin":129,"end":134},"obj":"Species"}],"attributes":[{"id":"A216","pred":"tao:has_database_id","subj":"216","obj":"Tax:2697049"},{"id":"A217","pred":"tao:has_database_id","subj":"217","obj":"Tax:9606"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"2.2. miR Prediction\nThe miRTarget and miRBase programmes were used to predict the similarities between the SARS-CoV-2 genome and human miRs; e-value \u003c10 and score \u003e70 were considered as significant. DianaTools miRPath V3 were then used to create heat maps for pathways affected by selected miRs, focusing on the microT-CDS version 5.0 database. The p value threshold was 0.05 and microT threshold was 0.8. Heatmap analysis was done with pathway intersection [24]."}