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SeedVicious:microRNA 靶位和近靶位分析。

SeedVicious: Analysis of microRNA target and near-target sites.

机构信息

School of Biological Sciences, University of Essex, Colchester, United Kingdom.

出版信息

PLoS One. 2018 Apr 17;13(4):e0195532. doi: 10.1371/journal.pone.0195532. eCollection 2018.

Abstract

Here I describe seedVicious, a versatile microRNA target site prediction software that can be easily fitted into annotation pipelines and run over custom datasets. SeedVicious finds microRNA canonical sites plus other, less efficient, target sites. Among other novel features, seedVicious can compute evolutionary gains/losses of target sites using maximum parsimony, and also detect near-target sites, which have one nucleotide different from a canonical site. Near-target sites are important to study population variation in microRNA regulation. Some analyses suggest that near-target sites may also be functional sites, although there is no conclusive evidence for that, and they may actually be target alleles segregating in a population. SeedVicious does not aim to outperform but to complement existing microRNA prediction tools. For instance, the precision of TargetScan is almost doubled (from 11% to ~20%) when we filter predictions by the distance between target sites using this program. Interestingly, two adjacent canonical target sites are more likely to be present in bona fide target transcripts than pairs of target sites at slightly longer distances. The software is written in Perl and runs on 64-bit Unix computers (Linux and MacOS X). Users with no computing experience can also run the program in a dedicated web-server by uploading custom data, or browse pre-computed predictions. SeedVicious and its associated web-server and database (SeedBank) are distributed under the GPL/GNU license.

摘要

这里我描述了 seedVicious,一个功能强大的 microRNA 靶标预测软件,可以轻松集成到注释管道中,并在自定义数据集上运行。seedVicious 可以找到 microRNA 经典靶标以及其他效率较低的靶标。除了其他新颖的功能外,seedVicious 还可以使用最大简约法计算靶标位点的进化增益/损失,还可以检测近靶标位点,这些位点与经典靶标位点只有一个核苷酸不同。近靶标位点对于研究 microRNA 调控的群体变异很重要。一些分析表明,近靶标位点也可能是功能位点,尽管没有确凿的证据,它们可能实际上是在群体中分离的靶等位基因。seedVicious 的目的不是超越,而是补充现有的 microRNA 预测工具。例如,当我们使用该程序根据靶标位点之间的距离过滤预测时,TargetScan 的精度几乎提高了一倍(从 11%提高到约 20%)。有趣的是,两个相邻的经典靶标位点更有可能存在于真正的靶转录本中,而不是稍长距离的靶标位点对。该软件是用 Perl 编写的,在 64 位 Unix 计算机(Linux 和 MacOS X)上运行。没有计算经验的用户也可以通过上传自定义数据在专用网络服务器上运行该程序,或者浏览预先计算的预测。seedVicious 及其关联的网络服务器和数据库(SeedBank)根据 GPL/GNU 许可证分发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1de/5903666/c4ae65a855da/pone.0195532.g001.jpg

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