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Using several pair-wise informant sequences for de novo prediction of alternatively spliced transcripts

机译:使用几个成对的信息序列从头开始预测可变剪接的转录本

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Background: As part of the ENCODE Genome Annotation Assessment Project (EGASP), we developed the MARS extension to the Twinscan algorithm. MARS is designed to find human alternatively spliced transcripts that are conserved in only one or a limited number of extant species. MARS is able to use an arbitrary number of informant sequences and predicts a number of alternative transcripts at each gene locus. Results: MARS uses the mouse, rat, dog, opossum, chicken, and frog genome sequences as pair-wise informant sources for Twinscan and combines the resulting transcript predictions into genes based on coding (CDS) region overlap. Based on the EGASP assessment, MARS is one of the more accurate dual-genome prediction programs. Compared to the GENCODE annotation, we find that predictive sensitivity increases, while specificity decreases, as more informant species are used. MARS correctly predicts alternatively spliced transcripts for 11 of the 236 multi-exon GENCODE genes that are alternatively spliced inthe coding region of their transcripts. For these genes a total of 24 correct transcripts are predicted. Conclusions: The MARS algorithm is able to predict alternatively spliced transcripts without the use of expressed sequence information, although thenumber of loci in which multiple predicted transcripts match multiple alternatively spliced transcripts in the GENCODE annotation is relatively small.
机译:背景:作为ENCODE基因组注释评估项目(EGASP)的一部分,我们开发了对Twinscan算法的MARS扩展。 MARS旨在查找仅在一种或数量有限的现存物种中保守的人类选择性剪接的转录本。 MARS能够使用任意数量的信息序列,并预测每个基因位点的许多替代转录本。结果:MARS使用小鼠,大鼠,狗,负鼠,鸡和青蛙的基因组序列作为Twinscan的成对信息源,并将所得的转录本预测结果结合到基于编码(CDS)区域重叠的基因中。根据EGASP评估,MARS是更准确的双基因组预测程序之一。与GENCODE注释相比,我们发现,随着使用更多的信息种类,预测灵敏度增加,而特异性降低。 MARS正确预测了236个多外显子GENCODE基因中的11个的选择性剪接转录本,这些基因在其转录本的编码区域中选择性剪接。对于这些基因,总共预测了24个正确的转录本。结论:尽管在GENCODE注释中多个预测的转录本与多个选择性剪​​接的转录本相匹配的基因座数目相对较小,但MARS算法能够在不使用表达的序列信息的情况下预测选择性剪接的转录本。

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