{"title":"人类基因组揭示的人口统计学认知模式","authors":"L. Yepiskoposyan","doi":"10.1109/CSITECHNOL.2017.8312138","DOIUrl":null,"url":null,"abstract":"Here, we provide some examples of extracting demographic cognitive patterns from human genome data through applying traditional and recently developed statistical and bioinformatics tools. These methods were used to make inferences on the demographic history of Armenians (as a template population) based on uniparentally (through paternally inherited Y chromosome and maternally inherited mitochondrial DNA) and biparentally (through autosomes) transmitted genetic information.","PeriodicalId":332371,"journal":{"name":"2017 Computer Science and Information Technologies (CSIT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demographic cognitive patterns revealed from human genome\",\"authors\":\"L. Yepiskoposyan\",\"doi\":\"10.1109/CSITECHNOL.2017.8312138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Here, we provide some examples of extracting demographic cognitive patterns from human genome data through applying traditional and recently developed statistical and bioinformatics tools. These methods were used to make inferences on the demographic history of Armenians (as a template population) based on uniparentally (through paternally inherited Y chromosome and maternally inherited mitochondrial DNA) and biparentally (through autosomes) transmitted genetic information.\",\"PeriodicalId\":332371,\"journal\":{\"name\":\"2017 Computer Science and Information Technologies (CSIT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Computer Science and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSITECHNOL.2017.8312138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Computer Science and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSITECHNOL.2017.8312138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demographic cognitive patterns revealed from human genome
Here, we provide some examples of extracting demographic cognitive patterns from human genome data through applying traditional and recently developed statistical and bioinformatics tools. These methods were used to make inferences on the demographic history of Armenians (as a template population) based on uniparentally (through paternally inherited Y chromosome and maternally inherited mitochondrial DNA) and biparentally (through autosomes) transmitted genetic information.