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WebTraceMiner: a web service for processing and mining EST sequence trace files

机译:WebTraceMiner:用于处理和挖掘EST序列跟踪文件的Web服务

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摘要

Expressed sequence tags (ESTs) remain a dominant approach for characterizing the protein-encoding portions of various genomes. Due to inherent deficiencies, they also present serious challenges for data quality control. Before GenBank submission, EST sequences are typically screened and trimmed of vector and adapter/linker sequences, as well as polyA/T tails. Removal of these sequences presents an obstacle for data validation of error-prone ESTs and impedes data mining of certain functional motifs, whose detection relies on accurate annotation of positional information for polyA tails added posttranscriptionally. As raw DNA sequence information is made increasingly available from public repositories, such as NCBI Trace Archive, new tools will be necessary to reanalyze and mine this data for new information. WebTraceMiner () was designed as a public sequence processing service for raw EST traces, with a focus on detection and mining of sequence features that help characterize 3′ and 5′ termini of cDNA inserts, including vector fragments, adapter/linker sequences, insert-flanking restriction endonuclease recognition sites and polyA or polyT tails. WebTraceMiner complements other public EST resources and should prove to be a unique tool to facilitate data validation and mining of error-prone ESTs (e.g. discovery of new functional motifs).
机译:表达的序列标签(EST)仍然是表征各种基因组的蛋白质编码部分的主要方法。由于内在的缺陷,它们还对数据质量控制提出了严峻的挑战。在GenBank提交之前,通常会筛选EST序列,并修剪掉载体和衔接子/接头序列以及polyA / T尾部。这些序列的去除为易出错的EST的数据验证提供了障碍,并阻碍了某些功能基序的数据挖掘,其功能检测依赖于转录后添加的polyA尾巴的位置信息的准确注释。随着原始DNA序列信息越来越多地从公共存储库(如NCBI Trace Archive)中获得,将需要新的工具来重新分析和挖掘此数据以获取新信息。 WebTraceMiner()被设计为原始EST痕迹的公共序列处理服务,重点在于检测和挖掘有助于表征cDNA插入片段3'和5'末端的序列特征,包括载体片段,衔接子/接头序列,侧翼限制性核酸内切酶识别位点和polyA或polyT尾巴。 WebTraceMiner是其他公共EST资源的补充,应被证明是促进数据验证和挖掘容易出错的EST(例如发现新功能性图案)的独特工具。

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