| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_280d87031f0c5786de1808713a1b76b7 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-158
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-118 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6869
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B35-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-689
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16C20-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B30-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B35-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-689
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6869 |
| filingDate |
2015-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2022-02-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_32eed2507a0c208a112eb2cfb58b56d0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_820773cd68e1552d8424a38e54faf184 |
| publicationDate |
2022-02-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11250932-B2 |
| titleOfInvention |
Bacterial identification in clinical infections |
| abstract |
Disclosed herein are methods of identifying infections, such as methods of identifying bacterial infections which utilize whole metagenome sequence analysis to sequence the entire wound microbiome of clinical samples. The disclosed methods use fast k-mer based sequence analysis, predictive modeling, and Bayesian network analysis, to analyze bacterial metagenomic sequence compositions in conjunction with clinical factors to stratify communities of bacteria into healing versus non-healing clusters. The methods of identifying infections can include performing molecular analysis of a patient wound sample, preparing the data obtained from the molecular analysis, diagnosing the wound sample and/or prognosing the wound sample. The disclosed methods can also be used to identify protein function as well as novel biomarkers. |
| priorityDate |
2014-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |