DeAnnIso: a tool for online detection and annotation of isomiRs from small RNA sequencing data.
DeAnnIso: a tool for online detection and annotation of isomiRs from small RNA sequencing data.
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DeAnnIso：从小 RNA 测序数据中在线检测和注释 isomiR 的工具
DOI：
10.1093/nar/gkw427
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发表时间：
2016-07-08
影响因子：
14.9
通讯作者：
Shi Q
中科院分区：
文献类型：
--
作者：
Zhang Y;Zang Q;Zhang H;Ban R;Yang Y;Iqbal F;Li A;Shi Q
小 RNA (sRNA) 测序技术表明，microRNA (miRNA) 能够表现出与其规范序列相比频繁的变异，从而产生多种变体：miRNA 的亚型 (isomiR)。然而，从 sRNA 测序数据中精确检测和系统注释 isomiR 的集成工具仍然存在很大需求。在这里，我们提出了一个在线工具 DeAnnIso（从 sRNA 测序数据检测和注释 IsomiR）。 DeAnnIso 可以检测上传样本中的所有 isomiR，并可以从配对或多个样本中提取差异表达的 isomiR。一旦完成 isomiRs 检测，就会向用户提供详细的注释信息，包括 isomiRs 表达、isomiRs 分类、miRNA 中的 SNP 和组织特异性 isomiR 表达。此外，DeAnnIso 还为所选 isomiR 提供了全面的靶标分析和富集分析模块。总而言之，DeAnnIso 可以方便用户筛选自己感兴趣的异构体，并且有助于进一步的功能研究。该服务器采用 PHP + Perl + R 实现，免费向所有用户开放：http://mcg.ustc.edu.cn/bsc/deanniso/ 和 http://mcg2.ustc.edu.cn/bsc/deanniso/。
Small RNA (sRNA) Sequencing technology has revealed that microRNAs (miRNAs) are capable of exhibiting frequent variations from their canonical sequences, generating multiple variants: the isoforms of miRNAs (isomiRs). However, integrated tool to precisely detect and systematically annotate isomiRs from sRNA sequencing data is still in great demand. Here, we present an online tool, DeAnnIso (Detection and Annotation of IsomiRs from sRNA sequencing data). DeAnnIso can detect all the isomiRs in an uploaded sample, and can extract the differentially expressing isomiRs from paired or multiple samples. Once the isomiRs detection is accomplished, detailed annotation information, including isomiRs expression, isomiRs classification, SNPs in miRNAs and tissue specific isomiR expression are provided to users. Furthermore, DeAnnIso provides a comprehensive module of target analysis and enrichment analysis for the selected isomiRs. Taken together, DeAnnIso is convenient for users to screen for isomiRs of their interest and useful for further functional studies. The server is implemented in PHP + Perl + R and available to all users for free at: http://mcg.ustc.edu.cn/bsc/deanniso/ and http://mcg2.ustc.edu.cn/bsc/deanniso/.