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AltAnalyze - An Optimized Platform for RNA-Seq Splicing and Domain-Level Analyses

机译:AltAnalyze-用于RNA序列剪接和域水平分析的优化平台

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The deep sequencing of transcriptomes has revolutionized our ability to detect known and novel RNA variants at a never before observed resolution. To capitalize on these ever improving technologies, we require functionally rich methods of annotation to predict and evaluate the consequences of RNA isoform variation at the level of proteins, domains and microRNA binding sites. We introduce a new version of the popular open-source application AltAnalyze (http://www.altanalyze.org), capable of analyzing RNA-Sequencing (RNA-Seq) datasets as well as splicing-sensitive or conventional arrays. This software can be run through an intuitive graphical user interface or command-line. Over 60 species and data from various RNA-Seq alignment workflows are immediately supported without any specialized configuration. AltAnalyze provides multiple options for gene expression quantification, filtering, quality control and biological interpretation. Hierarchical clustering heatmaps, principal component analysis plots, lineage correlation diagrams and visualization of enriched pathways are automatically produced for differentially expressed genes. For detection of alternative splicing, promoter or polyadenylation events, AltAnalyze combines both reciprocal-junction and alternative-exon expression approaches to identify annotated and novel RNA variation. By connecting these regulated splicing-events with optimal inclusion and exclusion isoforms, AltAnalyze is able to evaluate the impact of alternative RNA expression on protein domains, annotated motifs and binding sites for microRNAs. From a broader perspective, AltAnalyze examines the enrichment of effected domains and microRNA binding sites, to highlight the global impact of alternative splicing. Together, AltAnalyze provides an efficient, streamlined and comprehensive set of analysis results, to determine the biological impact of transcriptome regulation.
机译:转录组的深度测序彻底改变了我们以前所未有的分辨率检测已知和新型RNA变体的能力。为了利用这些不断改进的技术,我们需要功能丰富的注释方法,以预测和评估蛋白质,结构域和微RNA结合位点水平的RNA同工型变异的后果。我们引入了流行的开源应用程序AltAnalyze(http://www.altanalyze.org)的新版本,该版本能够分析RNA测序(RNA-Seq)数据集以及对剪接敏感的阵列或常规阵列。该软件可以通过直观的图形用户界面或命令行运行。无需任何特殊配置即可立即支持来自各种RNA-Seq比对工作流程的60多种物种和数据。 AltAnalyze为基因表达定量,过滤,质量控制和生物学解释提供了多种选择。对于差异表达的基因,会自动生成分层聚类热图,主成分分析图,谱系相关图和富集途径的可视化。为了检测替代的剪接,启动子或聚腺苷酸化事件,AltAnalyze结合了反向连接和替代外显子表达方法,以识别带注释的和新颖的RNA变异。通过将这些调控的剪接事件与最佳的包含和排除同工型联系起来,AltAnalyze能够评估替代RNA表达对蛋白质结构域,带注释的基序和microRNA结合位点的影响。从更广泛的角度来看,AltAnalyze考察了受影响域和microRNA结合位点的丰富性,以突出替代剪接的全球影响。 AltAnalyze共同提供了一套高效,简化和全面的分析结果,以确定转录组调控的生物学影响。

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