Tin Chi Nguyen, N. Deng, Guorong Xu, Z. Duan, D. Zhu
{"title":"iQuant:一个快速而准确的GUI工具,用于转录量化","authors":"Tin Chi Nguyen, N. Deng, Guorong Xu, Z. Duan, D. Zhu","doi":"10.1109/BIBMW.2011.6112556","DOIUrl":null,"url":null,"abstract":"Transcript quantification using RNA-seq is central to contemporary and future transcriptomics research. The existing tools are useful but have much room for improvement. We present a new statistical model, a fast yet accurate transcript quantification algorithm. Our tool takes RNA-seq reads in fasta or fastq format as input and output transcript abundance through a few mouse clicks. Our method compares favorably with the existing GUI tools in terms of both time complexity and accuracy. Availability: Both simulation data used for method comparisons and the GUI tool are freely available at http://asammate.sourceforge.net/.","PeriodicalId":6345,"journal":{"name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","volume":"119 1","pages":"1048-1050"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"iQuant: A fast yet accurate GUI tool for transcript quantification\",\"authors\":\"Tin Chi Nguyen, N. Deng, Guorong Xu, Z. Duan, D. Zhu\",\"doi\":\"10.1109/BIBMW.2011.6112556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transcript quantification using RNA-seq is central to contemporary and future transcriptomics research. The existing tools are useful but have much room for improvement. We present a new statistical model, a fast yet accurate transcript quantification algorithm. Our tool takes RNA-seq reads in fasta or fastq format as input and output transcript abundance through a few mouse clicks. Our method compares favorably with the existing GUI tools in terms of both time complexity and accuracy. Availability: Both simulation data used for method comparisons and the GUI tool are freely available at http://asammate.sourceforge.net/.\",\"PeriodicalId\":6345,\"journal\":{\"name\":\"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)\",\"volume\":\"119 1\",\"pages\":\"1048-1050\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBMW.2011.6112556\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBMW.2011.6112556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
iQuant: A fast yet accurate GUI tool for transcript quantification
Transcript quantification using RNA-seq is central to contemporary and future transcriptomics research. The existing tools are useful but have much room for improvement. We present a new statistical model, a fast yet accurate transcript quantification algorithm. Our tool takes RNA-seq reads in fasta or fastq format as input and output transcript abundance through a few mouse clicks. Our method compares favorably with the existing GUI tools in terms of both time complexity and accuracy. Availability: Both simulation data used for method comparisons and the GUI tool are freely available at http://asammate.sourceforge.net/.