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CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts.
Briefings in Bioinformatics ( IF 6.8 ) Pub Date : 2020-05-27 , DOI: 10.1093/bib/bbaa045
Pedro G Nachtigall , Andre Y Kashiwabara , Alan M Durham

Characterization of the coding sequences (CDSs) is an essential step in transcriptome annotation. Incorrect identification of CDSs can lead to the prediction of non-existent proteins that can eventually compromise knowledge if databases are populated with similar incorrect predictions made in different genomes. Also, the correct identification of CDSs is important for the characterization of the untranslated regions (UTRs), which are known to be important regulators of the mRNA translation process. Considering this, we present CodAn (Coding sequence Annotator), a new approach to predict confident CDS and UTR regions in full or partial transcriptome sequences in eukaryote species.

中文翻译:

CodAn:用于精确识别真核转录物中编码区的预测模型。

编码序列 (CDS) 的表征是转录组注释的重要步骤。CDS 的错误识别可能导致对不存在的蛋白质的预测,如果数据库中填充了在不同基因组中做出的类似错误预测,则最终可能会损害知识。此外,CDS 的正确识别对于非翻译区 (UTR) 的表征很重要,非翻译区 (UTR) 是 mRNA 翻译过程的重要调节因子。考虑到这一点,我们提出了 CodAn(编码序列注释器),这是一种在真核生物物种的完整或部分转录组序列中预测可信 CDS 和 UTR 区域的新方法。
更新日期:2020-05-27
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