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{"title":"Predicting Genes in Single Genomes with AUGUSTUS","authors":"Katharina J. Hoff, Mario Stanke","doi":"10.1002/cpbi.57","DOIUrl":null,"url":null,"abstract":"<p>AUGUSTUS is a tool for finding protein-coding genes and their exon-intron structure in genomic sequences. It does not necessarily require additional experimental input, as it can be applied in so-called <i>ab initio</i> mode. However, extrinsic evidence from various sources such as transcriptome sequencing or the annotations of closely related genomes can be integrated in order to improve the accuracy and completeness of the annotation. AUGUSTUS can be applied to single genomes, or simultaneously to several aligned genomes. Here, we describe steps required for training AUGUSTUS for the annotation of individual genomes and the steps to do the actual structural annotation. Further, we describe the generation and integration of evidence from various sources of extrinsic evidence. © 2018 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"65 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.57","citationCount":"177","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.57","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}
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Abstract
AUGUSTUS is a tool for finding protein-coding genes and their exon-intron structure in genomic sequences. It does not necessarily require additional experimental input, as it can be applied in so-called ab initio mode. However, extrinsic evidence from various sources such as transcriptome sequencing or the annotations of closely related genomes can be integrated in order to improve the accuracy and completeness of the annotation. AUGUSTUS can be applied to single genomes, or simultaneously to several aligned genomes. Here, we describe steps required for training AUGUSTUS for the annotation of individual genomes and the steps to do the actual structural annotation. Further, we describe the generation and integration of evidence from various sources of extrinsic evidence. © 2018 by John Wiley & Sons, Inc.
利用AUGUSTUS预测单基因组基因
AUGUSTUS是一种在基因组序列中寻找蛋白质编码基因及其外显子-内含子结构的工具。它不一定需要额外的实验输入,因为它可以应用于所谓的从头算模式。然而,可以整合来自各种来源的外部证据,如转录组测序或密切相关基因组的注释,以提高注释的准确性和完整性。AUGUSTUS可以应用于单个基因组,也可以同时应用于多个对齐的基因组。在这里,我们描述了训练AUGUSTUS进行个体基因组注释所需的步骤,以及进行实际结构注释的步骤。此外,我们还描述了来自各种外部证据来源的证据的产生和整合。©2018 by John Wiley &儿子,Inc。
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