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{"title":"Using geneid to Identify Genes","authors":"Tyler Alioto, Enrique Blanco, Genís Parra, Roderic Guigó","doi":"10.1002/cpbi.56","DOIUrl":null,"url":null,"abstract":"<p>This unit describes the usage of geneid, an efficient gene-finding program that allows for the analysis of large genomic sequences, including whole mammalian chromosomes. These sequences can be partially annotated, and geneid can be used to refine this initial annotation. Training geneid is relatively easy, and parameter configurations exist for a number of eukaryotic species. geneid produces output in a variety of standard formats. The results, thus, can be processed by a variety of software tools, including visualization programs. geneid software is in the public domain, and is undergoing constant development. It is easy to install and use. Exhaustive benchmark evaluations show that geneid compares favorably with other existing gene-finding tools. © 2018 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.56","citationCount":"53","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 53
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Abstract
This unit describes the usage of geneid, an efficient gene-finding program that allows for the analysis of large genomic sequences, including whole mammalian chromosomes. These sequences can be partially annotated, and geneid can be used to refine this initial annotation. Training geneid is relatively easy, and parameter configurations exist for a number of eukaryotic species. geneid produces output in a variety of standard formats. The results, thus, can be processed by a variety of software tools, including visualization programs. geneid software is in the public domain, and is undergoing constant development. It is easy to install and use. Exhaustive benchmark evaluations show that geneid compares favorably with other existing gene-finding tools. © 2018 by John Wiley & Sons, Inc.
利用基因识别基因
本单元介绍了geneid的用法，这是一种高效的基因发现程序，可以分析大型基因组序列，包括整个哺乳动物染色体。可以对这些序列进行部分注释，并且可以使用geneid来改进这个初始注释。训练基因是相对容易的，参数配置存在于许多真核生物物种。Geneid产生各种标准格式的输出。因此，结果可以通过各种软件工具进行处理，包括可视化程序。Geneid软件是在公共领域，并正在不断发展。它易于安装和使用。详尽的基准评估表明，geneid与其他现有的基因发现工具相比具有优势。©2018 by John Wiley &儿子,Inc。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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