Engenharia da Computação, Universidade Tecnológica Federal do Paraná-Campus Cornélio Procópio, Cornélio Procópio, Brazil.
RNA Biol. 2012 Mar;9(3):274-82. doi: 10.4161/rna.19352. Epub 2012 Mar 1.
Large-scale transcriptome projects have shown that the number of RNA transcripts not coding for proteins (non-coding RNAs) is much larger than previously recognized. High-throughput technologies, coupled with bioinformatics approaches, have produced increasing amounts of data, highlighting the role of non-coding RNAs (ncRNAs) in biological processes. Data generated by these studies include diverse non-coding RNA classes from organisms of different kingdoms, which were obtained using different experimental and computational assays. This has led to a rapid increase of specialized RNA databases. The fast growth in the number of available databases makes integration of stored information a difficult task. We present here NRDR, a Non-coding RNA Databases Resource for information retrieval on ncRNA databases (www.ncrnadatabases.org). We performed a survey of 102 public databases on ncRNAs and we have introduced four categorizations to classify these databases and to help researchers quickly search and find the information they need: RNA family, information source, information content and available search mechanisms. NRDR is a useful databases searching tool that will facilitate research on ncRNAs.
大规模转录组项目表明，不编码蛋白质的 RNA 转录本（非编码 RNA）的数量远远超过之前的认识。高通量技术与生物信息学方法相结合，产生了越来越多的数据，突出了非编码 RNA（ncRNA）在生物过程中的作用。这些研究产生的数据包括来自不同生物界的不同非编码 RNA 类别，这些数据是使用不同的实验和计算方法获得的。这导致了专门的 RNA 数据库的快速增长。可用数据库数量的快速增长使得存储信息的集成成为一项艰巨的任务。我们在这里提出了 NRDR，这是一个用于 ncRNA 数据库信息检索的非编码 RNA 数据库资源（www.ncrnadatabases.org）。我们对 102 个公共 ncRNA 数据库进行了调查，并引入了四种分类方法来对这些数据库进行分类，以帮助研究人员快速搜索和找到他们所需的信息：RNA 家族、信息源、信息内容和可用的搜索机制。NRDR 是一个有用的数据库搜索工具，将有助于 ncRNA 的研究。
