Noninvasive prenatal bioinformatics detection system and method as well as application
A bioinformatics and detection method technology, applied in the field of non-invasive prenatal bioinformatics detection system, can solve the problem of inability to calculate the fetal concentration of female fetuses, and achieve the effect of reducing errors and complexity
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Embodiment 1
[0077] Example 1 Non-invasive prenatal bioinformatics detection device
[0078] This embodiment provides a non-invasive prenatal bioinformatics detection device, which specifically includes the following components:
[0079] (1) Original data acquisition unit: used to perform whole-genome sequencing on the extracted cfDNA from the peripheral blood of pregnant women to obtain the original data;
[0080] (2) Raw data screening and delivery unit: used for automatic monitoring, to determine whether the original data has completely completed the sequencing process and obtained the original data, and whether the sample configuration file is ready, if the result is "yes", enter the original data quality control unit; if If the result is "No", return to the original data acquisition unit, and enter the original data quality control unit until the result of the automatic monitoring program is "Yes";
[0081] (3) Raw data quality control unit: used to split the raw data with the result of "Yes"...
Embodiment 2
[0086] This embodiment provides a non-invasive prenatal bioinformatics detection method, using the device in embodiment 1, the process is as follows Figure 3-4 As shown, including the following steps:
[0087] (1) Obtain the original data: extract the cfDNA sample of the pregnant woman's peripheral blood, and then use the existing nextseq500 sequencer to build the database and sequence the sample.
[0088] (2) Screening and delivery of the original data: Before the sequencing on the computer, the automatic monitoring program must be started in advance to monitor whether the original data is completely off the computer and whether the samplesheet file used for data classification already exists, whether the delivery task can be started, etc.
[0089] The flow of the automatic monitoring program is as follows: First, enter the Linux command line mode, run the Linux screen command to create an analysis window, and directly run the monitoring shell script in the newly created window to ...
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