The MEME suite of motif-based sequence analysis tools

各种各样的生物过程和信号是由序列水平上可检测到的模式来调节的 在蛋白质、DNA和RNA中。例如，基因转录调控的一个方面涉及蛋白质。 (转录因子)识别并结合到特定的DNA序列模式。其他示例 重要的生物序列模式包括蛋白质结构域、microRNA和蛋白质靶标 一系列的蛋白激酶。Meme生物信息学软件工具套件为生物学家提供了 发现、分析和解释多种类型生物序列模式的强大方法， 包括上面提到的那些。该套装包括生物学家用来发现的一元醇-表情包 新的序列模式(基序)和三个工具--元模因、MCAST和MAST--生物学家用来 在序列数据库中搜索与基于基序的序列模型匹配的序列。这笔赠款将使我们能够 对于成千上万已经在使用它的生物学家来说，极大地提高了该套件的科学价值。这些 使用该套件的生物学家将看到改进，如增加可用性、更好的支持、更好的 用户界面和文档、更强大的算法、更好的互操作性和更快的发布速度 循环。我们将通过三个具体目标的组合来实现这些目标：(1)改进软件 工程，(2)持续支持和(3)套件的持续软件开发。

A wide variety of biological processes and signals are mediated by patterns detectable at the sequence level in proteins, DNA and RNA. For example, one facet of transcriptional regulation of genes involves proteins (transcription factors) recognizing and binding to specific DNA sequence patterns. Other examples of important biological sequence patterns include protein structural domains, microRNAsand the protein target sequences of kinases. The MEME suite of bioinformatics software tools provide biologists with powerful methods for discovering, analyzing and interpreting biological sequence patterns of many types, including those mentioned above. The suite includes onetool - MEME -- that biologists useto discover novel sequence patterns (motifs), and three tools -- Meta-MEME, MCAST and MAST -- that biologists use to search sequence databases for matches to motif-based sequence models. This grant will enable us to dramatically improve the scientific value of the suite to the thousands of biologists who already use it. These improvements will be visible to the biologist using the suite as increased availability, better support, better user-interface and documentation, more powerful algorithms, better interoperability, and faster release cycles. We will achieve these goals via a combination of three specific aims: (1) improved software engineering, (2) ongoing support and (3) continued software development of the suite.