http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111118167-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-156 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6806 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6851 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6806 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6886 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6851 |
| filingDate | 2020-03-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-06-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-06-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111118167-B |
| titleOfInvention | A tumor mutation load standard and its preparation method and kit |
| abstract | The invention provides a tumor mutation load standard product, a preparation method and application thereof, which are prepared by mixing genomic DNA extracted from 6 pairs of paired cell lines according to a certain ratio, and sequencing the gradient reference product through whole exon sequencing. The bioinformatics algorithm of the corresponding gradient reference material calculates the tumor mutation burden value of the corresponding gradient reference material; while the detection limit reference material is used to dilute the tumor cell sample with the normal cell sample in the paired sample, and use the droplet digital PCR method to verify the dilution ratio to ensure that The mixture meets expectations, so as to simulate the complexity of clinical samples and the specificity and sensitivity of the detection system to the greatest extent; this product can be used for the performance evaluation of tumor mutation load detection products, and can also be used for algorithm optimization or detection of tumor mutation load. Process Optimization. Whole-exome, genome-targeted, or exome-subset sequencing strategies for high throughput. |
| priorityDate | 2020-03-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 27.