{"title":"一类基因","authors":"Yanying Wu","doi":"arxiv-2311.08546","DOIUrl":null,"url":null,"abstract":"Understanding how genes interact and relate to each other is a fundamental\nquestion in biology. However, current practices for describing these\nrelationships, such as drawing diagrams or graphs in a somewhat arbitrary\nmanner, limit our ability to integrate various aspects of the gene functions\nand view the genome holistically. To overcome these limitations, we need a more\nappropriate way to describe the intricate relationships between genes.\nInterestingly, category theory, an abstract field of mathematics seemingly\nunrelated to biology, has emerged as a powerful language for describing\nrelations in general. We propose that category theory could provide a framework\nfor unifying our knowledge of genes and their relationships. As a starting point, we construct a category of genes, with its morphisms\nabstracting various aspects of the relationships betweens genes. These\nrelationships include, but not limited to, the order of genes on the\nchromosomes, the physical or genetic interactions, the signalling pathways, the\ngene ontology causal activity models (GO-CAM) and gene groups. Previously, they\nwere encoded by miscellaneous networks or graphs, while our work unifies them\nin a consistent manner as a category. By doing so, we hope to view the\nrelationships between genes systematically. In the long run, this paves a\npromising way for us to understand the fundamental principles that govern gene\nregulation and function.","PeriodicalId":501219,"journal":{"name":"arXiv - QuanBio - Other Quantitative Biology","volume":"142 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Category of Genes\",\"authors\":\"Yanying Wu\",\"doi\":\"arxiv-2311.08546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding how genes interact and relate to each other is a fundamental\\nquestion in biology. However, current practices for describing these\\nrelationships, such as drawing diagrams or graphs in a somewhat arbitrary\\nmanner, limit our ability to integrate various aspects of the gene functions\\nand view the genome holistically. To overcome these limitations, we need a more\\nappropriate way to describe the intricate relationships between genes.\\nInterestingly, category theory, an abstract field of mathematics seemingly\\nunrelated to biology, has emerged as a powerful language for describing\\nrelations in general. We propose that category theory could provide a framework\\nfor unifying our knowledge of genes and their relationships. As a starting point, we construct a category of genes, with its morphisms\\nabstracting various aspects of the relationships betweens genes. These\\nrelationships include, but not limited to, the order of genes on the\\nchromosomes, the physical or genetic interactions, the signalling pathways, the\\ngene ontology causal activity models (GO-CAM) and gene groups. Previously, they\\nwere encoded by miscellaneous networks or graphs, while our work unifies them\\nin a consistent manner as a category. By doing so, we hope to view the\\nrelationships between genes systematically. In the long run, this paves a\\npromising way for us to understand the fundamental principles that govern gene\\nregulation and function.\",\"PeriodicalId\":501219,\"journal\":{\"name\":\"arXiv - QuanBio - Other Quantitative Biology\",\"volume\":\"142 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Other Quantitative Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2311.08546\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Other Quantitative Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2311.08546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding how genes interact and relate to each other is a fundamental
question in biology. However, current practices for describing these
relationships, such as drawing diagrams or graphs in a somewhat arbitrary
manner, limit our ability to integrate various aspects of the gene functions
and view the genome holistically. To overcome these limitations, we need a more
appropriate way to describe the intricate relationships between genes.
Interestingly, category theory, an abstract field of mathematics seemingly
unrelated to biology, has emerged as a powerful language for describing
relations in general. We propose that category theory could provide a framework
for unifying our knowledge of genes and their relationships. As a starting point, we construct a category of genes, with its morphisms
abstracting various aspects of the relationships betweens genes. These
relationships include, but not limited to, the order of genes on the
chromosomes, the physical or genetic interactions, the signalling pathways, the
gene ontology causal activity models (GO-CAM) and gene groups. Previously, they
were encoded by miscellaneous networks or graphs, while our work unifies them
in a consistent manner as a category. By doing so, we hope to view the
relationships between genes systematically. In the long run, this paves a
promising way for us to understand the fundamental principles that govern gene
regulation and function.