{"title":"【大数据分析在肌肉骨骼细胞分化中的应用】。","authors":"Yuuki Imai","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Next generation sequencer has strongly progress big data analyses in life science. Among various kinds of sequencing data sets, epigenetic platform has just been important key to clarify the questions on broad and detail phenomenon in various forms of life. In this report, it is introduced that the research on identification of novel transcription factors in osteoclastogenesis using DNase-seq. Big data on musculoskeletal research will be organized by IFMRS and is getting more crucial.</p>","PeriodicalId":502100,"journal":{"name":"Clinical calcium","volume":"26 4","pages":"573-8"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Application of big data analyses for musculoskeletal cell differentiation].\",\"authors\":\"Yuuki Imai\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Next generation sequencer has strongly progress big data analyses in life science. Among various kinds of sequencing data sets, epigenetic platform has just been important key to clarify the questions on broad and detail phenomenon in various forms of life. In this report, it is introduced that the research on identification of novel transcription factors in osteoclastogenesis using DNase-seq. Big data on musculoskeletal research will be organized by IFMRS and is getting more crucial.</p>\",\"PeriodicalId\":502100,\"journal\":{\"name\":\"Clinical calcium\",\"volume\":\"26 4\",\"pages\":\"573-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical calcium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical calcium","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Application of big data analyses for musculoskeletal cell differentiation].
Next generation sequencer has strongly progress big data analyses in life science. Among various kinds of sequencing data sets, epigenetic platform has just been important key to clarify the questions on broad and detail phenomenon in various forms of life. In this report, it is introduced that the research on identification of novel transcription factors in osteoclastogenesis using DNase-seq. Big data on musculoskeletal research will be organized by IFMRS and is getting more crucial.