A data processing method and data processing device

Abstract

The invention relates to the technical field of information processing and discloses a data processing method and a data processing device. The data processing method comprises the steps that according to sampling rules of a sequencer, one-to-one mapping relations between each response unit in a sequencing chip and a storage position of output data of each response unit in an original data document are established; and according to the one-to-one mapping relations, the output data of a response unit is extracted from the original data document. The embodiment mode of the invention also discloses a data processing device. In comparison with the prior art, the embodiment mode disclosed by the invention is characterized in that the one-to-one mapping relations between each response unit the sequencing chip and the storage position of the output data of each response unit in the original data document are established, so the output data of a response unit in the chip can be selected from the original data collected by the sequencer accurately. In this way, time spent on searching the output data of the response unit is greatly reduced.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a data processing method and a data processing device. Background technique [0002] In order to test the performance of the chip, it is necessary to use a sequencer to collect the output data of each reaction unit in the chip (that is, the reaction chamber in which the relevant reaction is performed in the chip) for research. In the prior art, in order to facilitate data collection, a simple data sampling principle or collection method is often designed. However, the inventors of the present invention found that the number of data collected by the sequencer according to these data sampling principles or collection methods is greater than the actual chip output data, thus introducing redundant data. Because redundant data is false, invalid, and does not participate in data calculation, especially for high-throughput sequencers, the number of redundant data...

AI Technical Summary

Problems solved by technology

Because redundant data is false, invalid, and does not participate in data calculation, especially for high-throughput sequencers, the number of redundant data is on the order of hundreds of thousands or millions, and their existence not only takes up a lot of Memory space, more importantly, in order to avoid redundant data, it is often necessary to set a lot of judgment conditions to participate in numerical calculations, which will inevitably cause a lot of waste of calculation time

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