Pretreatment method and device for fetal concentration calculation and application thereof
A preprocessing device and preprocessing technology, applied in the field of high-throughput sequencing, can solve problems such as inaccurate calculation of fetal concentration, and achieve the effect of improving accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0044] In a preferred embodiment, a preprocessing method for fetal concentration calculation is provided. figure 1 A preprocessing method for fetal concentration calculation in this embodiment is shown. Such as figure 1 As shown, the preprocessing method includes:
[0045] Step S101, obtaining sequencing data of multiple samples;
[0046] Step S102, using the sequencing data to calculate the fetal concentration of each sample under different analysis strategies, wherein different analysis strategies include different lengths of sequencing reads and different amounts of total sequencing data;
[0047] Step S103, performing multi-factor analysis of variance on the fetal concentration of multiple samples under different analysis strategies to obtain the analysis strategy with the highest correlation with the fetal concentration.
[0048] In the above preprocessing method of the present application, by using the fetal concentration calculated under different sequencing strategi...
Embodiment 2
[0063] This embodiment provides a more specific preprocessing method for fetal concentration calculation, and the specific steps are as follows:
[0064] 1. Randomly select 20 NIPS samples, and obtain the whole genome sequence with a length of 150 base sequences through high-throughput sequencing, and remove adapters and low-quality base sequences (fastq files);
[0065] 2. Cut the base sequence with a read length of 150bp into base sequences with a read length of 35bp, 50bp, 75bp, 100bp, 125bp, and 150bp;
[0066] 3. Then randomly extract reads from the fastq files with different lengths of reads obtained above to obtain fastq files containing different data volumes (6M, 8M, 10M, 12M), and finally each sample will get 24 different fragment lengths and Fastq files with different data volumes;
[0067] 4. Use a unified analysis process to compare the obtained fastq files with the human genome hg19 respectively. The comparison results remove the sequences that are not accurately ...
Embodiment 3
[0074] In an optional embodiment, a calculation method for fetal concentration is also provided, the calculation method includes: obtaining the optimal analysis strategy according to any of the above preprocessing methods; analyzing the sequencing data to be analyzed according to the optimal analysis strategy Calculated to obtain the fetal concentration.
[0075] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM / RAM, disk, CD) contains se...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com