http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3619711-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8adaddc602ad7cb7f9e2d550681bb36d |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2537-165 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6869 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-022 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B50-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B30-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6869 |
| filingDate | 2019-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b75f37d75da429b729e7f8389b94a7b0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c6ce9369245d2774bfdf43a1754c4564 |
| publicationDate | 2020-03-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | EP-3619711-A1 |
| titleOfInvention | Predicting quality of sequencing results using deep neural networks |
| abstract | The technology disclosed predicts quality of base calling during an extended optical base calling process. The base calling process includes pre-prediction base calling process cycles and at least two times as many post-prediction base calling process cycles as pre-prediction cycles. A plurality of time series from the pre-prediction base calling process cycles is given as input to a trained convolutional neural network. The convolutional neural network determines from the pre-prediction base calling process cycles, a likely overall base calling quality expected after post-prediction base calling process cycles. When the base calling process includes a sequence of paired reads, the overall base calling quality time series of the first read is also given as an additional input to the convolutional neural network to determine the likely overall base calling quality after post-prediction cycles of the second read. |
| priorityDate | 2018-01-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6915744 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID226447059 |
Total number of triples: 22.