PMC:7532482 / 10281-11186
Annnotations
LitCovid-PD-FMA-UBERON
| Id | Subject | Object | Predicate | Lexical cue | fma_id |
|---|---|---|---|---|---|
| T21 | 232-236 | Body_part | denotes | Gene | http://purl.org/sig/ont/fma/fma74402 |
| T22 | 390-397 | Body_part | denotes | Genomes | http://purl.org/sig/ont/fma/fma84116 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T49 | 319-321 | Disease | denotes | MF | http://purl.obolibrary.org/obo/MONDO_0009691|http://purl.obolibrary.org/obo/MONDO_0020481 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T94 | 28-33 | http://purl.obolibrary.org/obo/OGG_0000000002 | denotes | genes |
| T95 | 232-236 | http://purl.obolibrary.org/obo/OGG_0000000002 | denotes | Gene |
| T96 | 328-347 | http://purl.obolibrary.org/obo/GO_0005575 | denotes | cellular components |
| T97 | 349-351 | http://purl.obolibrary.org/obo/GO_0005575 | denotes | CC |
| T98 | 380-385 | http://purl.obolibrary.org/obo/OGG_0000000002 | denotes | Genes |
| T99 | 694-697 | http://purl.obolibrary.org/obo/CLO_0001547 | denotes | A P |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T64 | 293-295 | Chemical | denotes | BP | http://purl.obolibrary.org/obo/CHEBI_29865 |
| T65 | 319-321 | Chemical | denotes | MF | http://purl.obolibrary.org/obo/CHEBI_74708 |
| T66 | 349-351 | Chemical | denotes | CC | http://purl.obolibrary.org/obo/CHEBI_28940 |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 461 | 35-37 | Chemical | denotes | CG |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T79 | 0-70 | Sentence | denotes | Identification of candidate genes (CGs) and enrichment analysis of CGs |
| T80 | 71-205 | Sentence | denotes | The CGs were filtered with R software using the Venn Diagram package (https://cran.r-project.org/web/packages/VennDiagram/index.html). |
| T81 | 206-414 | Sentence | denotes | The CGs would be used for Gene Ontology (GO) analysis (including biological processes (BP), molecular functions (MF), and cellular components (CC)) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. |
| T82 | 415-693 | Sentence | denotes | GO and KEGG pathway analyses results were processed by the “enrichplot” (http://www.bioconductor.org/packages/release/bioc/html/enrichplot.html) “clusterProfiler” (http://www.bioconductor.org/packages/release/bioc/html/clusterProfiler.html) and “ggplot2” packages by R software. |
| T83 | 694-769 | Sentence | denotes | A P value of less than 0.05 was used regarded as statistically significant. |
| T84 | 770-905 | Sentence | denotes | At the same time, we input CGs into DAVID (https://david.ncifcrf.gov/) for functional enrichment analysis to obtain disease clustering. |