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本文引用的文献

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PIntron: a fast method for detecting the gene structure due to alternative splicing via maximal pairings of a pattern and a text.PIntron:一种通过模式和文本的最大配对来检测因选择性剪接而导致的基因结构的快速方法。
BMC Bioinformatics. 2012 Apr 12;13 Suppl 5(Suppl 5):S2. doi: 10.1186/1471-2105-13-S5-S2.
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Comparing de novo assemblers for 454 transcriptome data.比较 454 转录组数据从头组装程序。
BMC Genomics. 2010 Oct 16;11:571. doi: 10.1186/1471-2164-11-571.
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The UCSC genome browser: what every molecular biologist should know.加州大学圣克鲁兹分校基因组浏览器:每个分子生物学家都应该了解的内容。
Curr Protoc Mol Biol. 2009 Oct;Chapter 19:Unit19.9. doi: 10.1002/0471142727.mb1909s88.
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EasyCluster: a fast and efficient gene-oriented clustering tool for large-scale transcriptome data.EasyCluster:一种用于大规模转录组数据的快速高效的面向基因的聚类工具。
BMC Bioinformatics. 2009 Jun 16;10 Suppl 6(Suppl 6):S10. doi: 10.1186/1471-2105-10-S6-S10.
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Detecting alternative gene structures from spliced ESTs: a computational approach.从剪接的EST中检测可变基因结构:一种计算方法。
J Comput Biol. 2009 Jan;16(1):43-66. doi: 10.1089/cmb.2008.0028.
6
ASTD: The Alternative Splicing and Transcript Diversity database.ASTD:可变剪接与转录本多样性数据库。
Genomics. 2009 Mar;93(3):213-20. doi: 10.1016/j.ygeno.2008.11.003. Epub 2008 Dec 24.
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Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing.通过高通量测序对人类转录组中可变剪接复杂性进行深度研究。
Nat Genet. 2008 Dec;40(12):1413-5. doi: 10.1038/ng.259. Epub 2008 Nov 2.
8
Finding alternative splicing patterns with strong support from expressed sequences on individual exons/introns.在各个外显子/内含子上寻找得到表达序列有力支持的可变剪接模式。
J Bioinform Comput Biol. 2008 Oct;6(5):1021-33. doi: 10.1142/s0219720008003825.
9
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarray expression data integration.EST2uni:一个用于自动EST分析和数据库创建的开放并行工具,带有数据挖掘网络界面和微阵列表达数据整合功能。
BMC Bioinformatics. 2008 Jan 7;9:5. doi: 10.1186/1471-2105-9-5.
10
ESTExplorer: an expressed sequence tag (EST) assembly and annotation platform.ESTExplorer:一个表达序列标签(EST)组装与注释平台。
Nucleic Acids Res. 2007 Jul;35(Web Server issue):W143-7. doi: 10.1093/nar/gkm378. Epub 2007 Jun 1.

RCDA:一种高度敏感和特异的可变剪接转录本组装工具,具有上游连续外显子结构。

RCDA: a highly sensitive and specific alternatively spliced transcript assembly tool featuring upstream consecutive exon structures.

机构信息

Department of Pediatrics, Linda Crnic Institute for Down Syndrome, University of Colorado Denver, Mail Stop 8608, 12700 E. 19th Avenue, Aurora, CO 80045, USA.

出版信息

Genomics. 2012 Dec;100(6):357-62. doi: 10.1016/j.ygeno.2012.08.004. Epub 2012 Aug 20.

DOI:10.1016/j.ygeno.2012.08.004
PMID:22971325
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5470730/
Abstract

When applied to complex transcript datasets, current tools for automated assembly of mRNA sequences require long run times and produce exponentially increasing numbers of splice variants. Here, we describe RCDA, a genome-based transcript assembly tool comprising RCluster, that recursively clusters transcripts, and DAssemble, that generates composite transcript sequences through path-finding using a directed acyclic graph. Each exon included in a final transcript is associated with an array of all upstream consecutive exon structures obtained from original transcripts. When a depth-first-search path reaches an exon, the path is retained only if it contains a structure from that exon's array. RCDA assemblies, therefore, include only those transcripts with experimentally supported exon patterns. When applied to >23,000 transcripts from human chromosome 21, using biologically reasonable filters, RCDA execution time was approximately 4h. RCDA outperformed ECgene in reconstructing RefSeq transcripts and in limiting the total number of transcripts and transcripts per gene.

摘要

当应用于复杂的转录数据集时,当前用于自动组装 mRNA 序列的工具需要较长的运行时间,并产生指数级增长的剪接变体数量。在这里,我们描述了 RCDA,这是一种基于基因组的转录物组装工具,包括 RCluster,它递归地聚类转录物,以及 DAssemble,它通过使用有向无环图进行路径查找生成复合转录物序列。最终转录物中包含的每个外显子都与从原始转录物获得的所有上游连续外显子结构的数组相关联。当深度优先搜索路径到达外显子时,只有在该路径包含该外显子数组中的结构时,才保留该路径。因此,RCDA 组装仅包括具有实验支持的外显子模式的转录物。当应用于来自人类染色体 21 的超过 23,000 个转录物,并使用合理的生物学过滤器时,RCDA 的执行时间约为 4 小时。RCDA 在重建 RefSeq 转录物以及限制转录物总数和每个基因的转录物数量方面优于 ECgene。