PATENT CLAIM ANALYSIS

Application Number: 16172633
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["204", "452000"]

Abstract:
A method of exporting measurements of a nanopore sensor on a nanopore based sequencing chip is disclosed. An electrical characteristic associated with the nanopore sensor is measured. The electrical characteristic associated with the nanopore sensor is processed. A summary for the electrical characteristic and one or more previous electrical characteristics is determined. The summary for the electrical characteristic and the one or more previous electrical characteristics are exported. Determining the summary includes determining that the electrical characteristic and at least a portion of the one or more previous electrical characteristics correspond to a base call event at the nanopore sensor. The summary represents the electrical characteristic and the at least a portion of the one or more previous electrical characteristics.

Claim (Index 2):
The nanopore based sequencing system of  claim 1 , wherein determining the summary comprises:\n representing the first portion of the plurality of measurements of the electrical characteristic with a magnitude parameter and a time parameter, wherein the time parameter corresponds to a duration of the first portion of the plurality of measurements of the electrical characteristic.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 97.0
- Lexical Diversity: 2.64583
- Patent Class: 204.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16046931', '14534042', '14056795', '15410592', '14575938']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8014588795651827
- 35 USC 102 Novelty (BERT): 0.5011595790532084
- Combined Prediction Score: 0.7714289495139853
- Mean Citation Score: 231.535254
- Max Citation Score: 305.61093
- Similarity Product: 297.0005253130817

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test