摘要：本发明公开了美容抗衰老基因匹配算法，包括以下步骤：S1.个体基因数据获取；S2.相关SNP位点的权重计算；S3.美容抗衰老能力计算。该美容抗衰老基因匹配算法，特征SNP是我们综合论文、奇云诺德数据库考量后选取的，针对某一美容抗衰老检测项的SNP位点的权重和SNP间的关系等是根据奇云诺德数据库以及数据显著性计算得出，选取的SNP位点数量更多，且更具有针对性，更加全面，不同SNP的权重和SNP间的叠加关系是我们根据奇云诺德数据库中的位点和论文结论计算得出，对于描述美容抗衰老检测项目更加准确，SNP指的是单核苷酸多态性位点，指在基因组水平上，由单个核苷酸变异导致的DNA序列多态性。

摘要：【中文】本发明涉及血液检测技术领域，且公开了一种血液生化指标计算性别和年龄的方法，包括血液生化指标数据收集、数据预处理、模型建立，所述样本收集后对其进行数据预处理。血液指标为衡量对象，增加测量的全面性，同时血液指标包含了多组学的代谢物，可以更加全面的反应个体衰老状况，并解释衰老水平，并通过DNN模型对血液生化指标进行计算，使得整个流程更加便捷化，使得血液生化指标传入DNN模型后，即可得到测试结果，且计算模型中的各项参数和模型结构经过多次验证，保证计算结果的准确性，同时所选取的血液生化指标是临床使用和体检机构中最常见的指标，获取难度小成本低，解释程度高，使得样本被计算后得出的结果更加全面化。 【EN】The invention relates to the technical field of blood detection, and discloses a method for calculating gender and age by blood biochemical indicators. The blood index is a measurement object, the comprehensiveness of measurement is increased, meanwhile, the blood index contains multi-group chemical metabolites, the individual aging condition can be comprehensively reflected, the aging level is explained, the blood biochemical index is calculated through a DNN model, the whole process is more convenient, the blood biochemical index can be transmitted into the DNN model, the test result can be obtained, various parameters and model structures in the calculation model are verified for multiple times, the accuracy of the calculation result is guaranteed, meanwhile, the selected blood biochemical index is the most common index in clinical use and physical examination mechanisms, the acquisition difficulty is small, the cost is low, the explanation degree is high, and the result obtained after the sample is calculated is more comprehensized.

摘要：【中文】本发明涉及基因大数据祖源分析预测技术领域，且公开了一种基于基因大数据进行祖源分析预测的算法，包括祖源成分样本数据的收集、数据预处理、祖源成分分析预测、Y染色体单倍群分析、线粒体单倍群分析、结果展示。目前市场上祖源分析技术多使用开源数据库，其中有关中国个体的样本量较少，导致血统和单倍群分型不准确、不够细致等，这里我们在开源数据库的基础上添加本公司收集的大量中国人样本数据，同时对源数据进行进一步优化，使得输入数据更加准确可靠，从而提高输出结果的精确度，另外本公司自主研发此三种分析中的比对打分算法，从而使得最终结果更加准确和细致。 【EN】The invention relates to the technical field of gene big data ancestral analysis and prediction, and discloses an algorithm for performing ancestral analysis and prediction based on gene big data. A starting source database is mostly used in the ancestral analysis technology in the market at present, wherein the sample size of related Chinese individuals is small, and the ancestral and single-group typing is inaccurate and not fine enough.

摘要：【中文】本发明涉及基因工程技术领域，且公开了一种生物信息变异位点数据格式转换方法，所述转换方法的步骤包括有S1：通过转换系统的配置文件输入配制数据，确定转换系统参考序列文件和指定数据路径、相关软件的调用等参数；S2：启动转换系统，转换系统根据指定数据路径获取相关数据。该生物信息变异位点数据格式转换方法，只需在配置文件中修改添加参数即可完成对所有的软件进行配置，避免了对大量软件的直接操作，提高了生物信息分析效率，实现了原始数据到中间数据及最终数据的一键式转换过程，直接获取关键SNP分型信息，操作过程大大的简化，并且还支持任何运行阶段的数据输出，便于验证和检查。 【EN】The invention relates to the technical field of genetic engineering, and discloses a biological information variation site data format conversion method, which comprises the following steps of S1: inputting configuration data through a configuration file of a conversion system, and determining parameters such as a reference sequence file of the conversion system, a specified data path, calling of related software and the like; s2: and starting the conversion system, and acquiring related data by the conversion system according to the specified data path. According to the biological information mutation site data format conversion method, all software can be configured only by modifying and adding parameters in the configuration file, so that direct operation of a large amount of software is avoided, the biological information analysis efficiency is improved, a one-click conversion process from original data to intermediate data and final data is realized, key SNP typing information is directly obtained, the operation process is greatly simplified, data output at any operation stage is supported, and verification and inspection are facilitated.

摘要：【中文】本发明涉及基因人脸识别技术领域，且公开了一种基于基因数据人脸画像和人脸识别方法，包括基因数据预测模型的训练、预测模型的使用、识别模型的训练和识别模型的使用，所述预测模型的训练和预测模型的使用用于基因数据人脸画像，所述识别模型的训练和识别模型的使用用于基因数据人脸识别。本发明通过基因预测模型库的建立和通过预测模型库运算基因人脸画像，实现由基因数据输入至可视化人脸图像输出，可根据输入的基因/人脸图像，一键输出预测好的人脸画像/人脸基因数据，操作简便，为基因预测人脸画像提供技术支持，为人脸画像获取基因数据提供技术支持。 【EN】The invention relates to the technical field of gene face recognition, and discloses a gene data-based face portrait and a face recognition method. The invention realizes the output from the gene data input to the visual face image by establishing the gene prediction model base and operating the gene face portrait by the prediction model base, can output the predicted face portrait/face gene data by one key according to the input gene/face image, has simple and convenient operation, provides technical support for gene prediction face portrait and provides technical support for acquiring the gene data for the face portrait.

摘要：【中文】本发明涉及基因体检技术领域，且公开了基于基因数据的基因体检系统，包括数据库和体检报告自动化生成系统，数据库由SNP位点分型数据库和分型结果个性化解读数据库构成。该基于基因数据的基因体检系统，建立了针对国人的SNP位点分型数据库和分型结果个性化解读数据库，将分析结果直接关联到性状疾病等的解读，使结论更具针对性，同时提高操作效率，且现有基因测序下机数据的分析中使用多种软件，操作过程繁琐耗时，本基于基因数据的基因体检系统，通过建立SNP位点分型数据库和分型结果个性化解读数据库，可直接将测序后的基因数据与数据库数据比对，做到一键式分析，节省时间人力成本，提高操作效率。 【EN】The invention relates to the technical field of genetic examination, and discloses a genetic examination system based on genetic data, which comprises a database and an automatic physical examination report generation system, wherein the database consists of an SNP locus typing database and a typing result personalized interpretation database. The genetic examination system based on the genetic data establishes an SNP locus typing database and a typing result personalized solution reading database aiming at Chinese, analysis results are directly related to interpretation of character diseases and the like, so that the conclusion is more pertinent, and meanwhile, the operation efficiency is improved.

摘要：【中文】本发明公开了精准营养基因匹配算法，包括以下步骤：S1.个体基因数据获取；S2.相关SNP位点的权重计算；S3.营养素代谢能力计算。该精准营养基因匹配算法，特征SNP是我们综合论文、奇云诺德数据库考量后选取的，针对某一营养素的SNP位点的权重和SNP间的关系等是根据奇云诺德数据库以及数据显著性计算得出，选取的SNP位点数量更多，且更具有针对性，更加全面，不同SNP的权重和SNP间的叠加关系是我们根据奇云诺德数据库中的位点和论文结论计算得出，对于描述营养素的吸收代谢能力更加准确，SNP指的是单核苷酸多态性位点，指在基因组水平上，由单个核苷酸变异导致的DNA序列多态性。 【EN】The invention discloses an accurate nutrition gene matching algorithm, which comprises the following steps: s1, obtaining individual gene data; s2, calculating the weight of the related SNP locus; and S3, calculating the metabolic capacity of the nutrients. The precise nutritional gene matching algorithm is characterized in that SNP is selected after comprehensive papers and a Qiyunned database are considered, the weight of SNP sites of a certain nutrient and the relation among the SNP sites are calculated according to the Qiyunned database and the data significance, the number of the selected SNP sites is more, the selected SNP sites are more targeted and more comprehensive, the weight of different SNP sites and the superposition relation among the SNP sites are calculated according to the sites in the Qiyunned database and the papers conclusion, the absorption metabolic capability for describing the nutrient is more accurate, the SNP refers to a single nucleotide polymorphism site, and refers to DNA sequence polymorphism caused by single nucleotide variation on the genome level.

摘要：【中文】本发明涉及基因两性配对技术领域，且公开了一种基于HLA分型的两性配对方法，包括对基因数据进行SNP位点分型检测获取SNP位点分型结果；进行HLAI型分子和II型分子的分型；建立HLA分型对应配对指标的相关性模型；将待匹配个体的HLA分型结果通过相关性模型计算后得到待配对指标；进行匹配度计算并打分；获取匹配度最高的若干个异性个体为最佳匹配异性。本发明通过针对特有的亚洲人群采集基因HLA分型数据，从基因、分子和人体生理的角度帮助男女完成两性速配，不仅可使配对分数高的男女伴侣之间有更好的沟通，减少吵架和不忠的可能，同时检测多个遗传病相关位点，并针对亚洲人特有的基因检测位点数据库，从根本上杜绝后代发生多种遗传疾病的可能。 【EN】The invention relates to the technical field of gene amphoteric pairing, and discloses an HLA typing-based amphoteric pairing method, which comprises the steps of carrying out SNP locus typing detection on gene data to obtain an SNP locus typing result; typing the HLAI type molecule and the II type molecule; establishing a correlation model of the matching indexes corresponding to the HLA typing; calculating the HLA typing result of the individual to be matched through a correlation model to obtain an index to be matched; calculating the matching degree and scoring; and acquiring a plurality of opposite individuals with the highest matching degree as the best matching opposite. According to the invention, through collecting gene HLA typing data aiming at specific Asian people, men and women are helped to complete the amphoteric rapid matching from the aspects of gene, molecule and human physiology, so that the male and female partners with high matching scores can be better communicated, the noise frame and the loyalty possibility are reduced, a plurality of genetic disease related sites are detected simultaneously, and the site database is detected aiming at the specific gene of the Asian, so that the possibility of various genetic diseases of later generations is fundamentally avoided.

摘要：【中文】本发明涉及亲缘关系鉴定方法技术领域，且公开了以SNP为遗传标记物的亲缘关系鉴定方法，包括亲缘关系判定模型的建立、SNP位点的分型检测和根据分型结果和判定模型确认个体间亲缘关系三大步骤。该以SNP为遗传标记物的亲缘关系鉴定方法，检测方式上采用SNP代替STR作为遗传标记物，充分避免了使用STR为遗传标记检测时稳定性差、分型难度高、对样本质量要求高、成本高的缺点；通过新模型算法可直接判定出两样本间直系、一级亲缘关系、二级亲缘关系、三级亲缘关系和陌生人；引入概率密度模型，充分避免各种误差带来的影响；采用程序化判定，操作简单方便，采用SNP分型检测技术，使分型结果准确直观；算法使用的SNP位点多、重复次数多，结果更加准确。 【EN】The invention relates to the technical field of genetic relationship identification methods, and discloses a genetic relationship identification method using SNP as a genetic marker, which comprises three steps of establishing a genetic relationship judgment model, detecting the typing of SNP sites, and confirming the genetic relationship between individuals according to a typing result and the judgment model. According to the genetic relationship identification method using SNP as the genetic marker, SNP is adopted to replace STR as the genetic marker in the detection mode, so that the defects of poor stability, high typing difficulty, high requirement on sample quality and high cost when STR is used as the genetic marker for detection are fully avoided; direct relation, first-level genetic relationship, second-level genetic relationship, third-level genetic relationship and strangers between the two samples can be directly judged through a new model algorithm; a probability density model is introduced, so that the influence caused by various errors is fully avoided; the method adopts programmed judgment, is simple and convenient to operate, and adopts the SNP typing detection technology to ensure that the typing result is accurate and visual; the algorithm uses a plurality of SNP sites, a plurality of times of repetition and more accurate results.