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{"title":"Good Citizenship Made Easy: A Step-by-Step Guide to Submitting RNA-Seq Data to NCBI","authors":"Wiebke Feindt, Sara J. Oppenheim, Robert DeSalle, Shaadi Mehr","doi":"10.1002/cpbi.67","DOIUrl":null,"url":null,"abstract":"<p>The analysis of transcriptome data from non-model organisms contributes to our understanding of diverse aspects of evolutionary biology, including developmental processes, speciation, adaptation, and extinction. Underlying this diversity is one shared feature, the generation of enormous amounts of sequence data. Data availability requirements in most journals oblige researchers to make their raw transcriptome data publicly available, and the databases housed at the National Center for Biotechnology Information (NCBI) are a popular choice for data deposition. Unfortunately, the successful submission of raw sequences to the Sequence Read Archive (SRA) and transcriptome assemblies to the Transcriptome Shotgun Assembly (TSA) can be challenging for novice users, significantly delaying data availability and publication. Here we present two comprehensive protocols for submitting RNA-Seq data to NCBI databases, accompanied by an easy-to-use website that facilitates the timely submission of data by researchers of any experience level. © 2018 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.67","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.67","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
The analysis of transcriptome data from non-model organisms contributes to our understanding of diverse aspects of evolutionary biology, including developmental processes, speciation, adaptation, and extinction. Underlying this diversity is one shared feature, the generation of enormous amounts of sequence data. Data availability requirements in most journals oblige researchers to make their raw transcriptome data publicly available, and the databases housed at the National Center for Biotechnology Information (NCBI) are a popular choice for data deposition. Unfortunately, the successful submission of raw sequences to the Sequence Read Archive (SRA) and transcriptome assemblies to the Transcriptome Shotgun Assembly (TSA) can be challenging for novice users, significantly delaying data availability and publication. Here we present two comprehensive protocols for submitting RNA-Seq data to NCBI databases, accompanied by an easy-to-use website that facilitates the timely submission of data by researchers of any experience level. © 2018 by John Wiley & Sons, Inc.
良好的公民身份很容易:向NCBI提交RNA-Seq数据的分步指南
对非模式生物转录组数据的分析有助于我们理解进化生物学的各个方面,包括发育过程、物种形成、适应和灭绝。这种多样性的基础是一个共同的特征,即产生大量的序列数据。大多数期刊的数据可用性要求迫使研究人员公开他们的原始转录组数据,而位于国家生物技术信息中心(NCBI)的数据库是数据存储的热门选择。不幸的是,成功地将原始序列提交到序列读取档案(SRA)和转录组组装到转录组霰弹枪组装(TSA)对于新手用户来说可能是具有挑战性的,这大大延迟了数据的可用性和发布。在这里,我们提出了两种将RNA-Seq数据提交到NCBI数据库的综合方案,并附有一个易于使用的网站,方便任何经验水平的研究人员及时提交数据。©2018 by John Wiley &儿子,Inc。
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