Computational approaches to noncoding RNAs

非编码 RNA 的计算方法

• 批准号: 7059274
• 负责人: Elena Rivas
• 金额: $ 2万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7059274
• 关键词: RNA; computational biology; meeting /conference /symposium; travel

DESCRIPTION (provided by applicant): We intend to organize a workshop entitled "Computational approaches to noncoding RNAs". The workshop will take place from July 16th to July 28th, 2006 at the Benasque Center for Sciences, Benasque, Spain. The workshop will have a strong focus on computational methods for the discovery and characterization of functional and regulatory RNAs. The main goal of this workshop is to bring together the leaders in the field of RNA informatics. The participants will be mostly computational biologists which have already shown significant contributions in RNA bioinformatics. We will discuss the needs of the field, and will identify the new methods and algorithms that will shape the field in the near future. The workshop will be oriented towards performing actual research on the site. The main topics of discussion will be: (1) Algorithms for the prediction of two and three dimensional RNA structures. Inference of RNA function. (2) Computational methods for the discovery of novel RNA genes and tools for the systematic genomic annotation of RNA genes. (3) RNA structural alignments. (4) RNA homology searches. How to improve RNA similarity searches by taking into account the structure as well as the sequence information. (5) RNA-based phylogenetic methods. (6) ncRNA families and RNA databases.

描述（由申请人提供）：我们打算组织一个题为“非编码RNA的计算方法”的研讨会。该研讨会将于 2006 年 7 月 16 日至 28 日在西班牙贝纳斯克贝纳斯克科学中心举行。该研讨会将重点关注功能性和调节性 RNA 的发现和表征的计算方法。 本次研讨会的主要目标是聚集 RNA 信息学领域的领导者。这 参与者主要是已经在 RNA 生物信息学领域做出了重大贡献的计算生物学家。我们将讨论该领域的需求，并将确定在不久的将来塑造该领域的新方法和算法。该研讨会将旨在现场进行实际研究。 讨论的主要议题将是：（1）二维和三维RNA结构的预测算法。 RNA功能的推断。 (2) 发现新RNA基因的计算方法和对RNA基因进行系统基因组注释的工具。 (3)RNA结构比对。 (4)RNA同源性搜索。如何通过考虑结构和序列信息来改进 RNA 相似性搜索。 (5)基于RNA的系统发育方法。 (6)ncRNA家族和RNA数据库。