{"title":"大海捞针","authors":"Alexander Lancaster, Gordon Webster","doi":"10.7208/chicago/9780226613475.003.0005","DOIUrl":null,"url":null,"abstract":"In this chapter we introduce regular expressions, one of the most powerful text-handling features of Python and show how we use it to analyze and process genomics and next-generation sequencing data.","PeriodicalId":179901,"journal":{"name":"Python for the Life Sciences","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Finding Needles in Haystacks\",\"authors\":\"Alexander Lancaster, Gordon Webster\",\"doi\":\"10.7208/chicago/9780226613475.003.0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this chapter we introduce regular expressions, one of the most powerful text-handling features of Python and show how we use it to analyze and process genomics and next-generation sequencing data.\",\"PeriodicalId\":179901,\"journal\":{\"name\":\"Python for the Life Sciences\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Python for the Life Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7208/chicago/9780226613475.003.0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Python for the Life Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7208/chicago/9780226613475.003.0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this chapter we introduce regular expressions, one of the most powerful text-handling features of Python and show how we use it to analyze and process genomics and next-generation sequencing data.
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