Workshop on Future Directions for Algorithms in Biology

生物学算法未来方向研讨会

• 批准号: 1748493
• 负责人: Carleton Kingsford
• 金额: $ 9.89万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-11-01 至 2019-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748493&HistoricalAwards=false
• 关键词: Workshop; Future; Directions; Algorithms; Biology

Computation has become essential to progress in biology, and an important and difficult research goal is to develop efficient, correct, and useful algorithms to analyze biological data and answer biological questions. This workshop will bring together the community of computational biologists who are interested in algorithmic questions to explore future directions and open problems in applying algorithms to problems in biology. The workshop will host distinguished scientists, students, and junior faculty to discuss emerging research areas, open problems, and grand challenges in algorithmic biology. This will solidify the algorithmic underpinnings of the field of computational biology, jumpstart new collaborations, and help set directions for the field for many years. It will ensure that the most important problems are tackled by the field, and that those who are interested in working on algorithms for those problems are aware of them. The activity will result in publically available video lectures and a published synthesis of the discussion and results of the workshop. It will advance the education of students interested in biology, computational biology, and algorithms by providing a venue for identifying important research questions and providing educational resources such as video lectures. A diverse group of speakers and researchers will participate, broadening the viewpoints represented in the field of algorithmic computational biology. The workshop will explore algorithmic questions in areas such as genomics, metagenomics, population genetics, systems biology, biological image analysis, phylogenetics, evolution, RNA and protein structure, proteomics, transcription and translation, experiment design, bioinformatics, and biological data management. The focus of the workshop will be on identifying, publicizing, and formalizing algorithmic open questions and better understanding how algorithmic approaches and thinking can aid biological investigations. The computational focus will be on algorithms and techniques with provable properties (e.g. runtime, correctness, approximation ratio), rather than heuristics. The workshop will host invited and community speakers, and be structured around scientific lectures, discussion sessions, and open problem sessions.

计算对于生物学的进步已经至关重要，一个重要且困难的研究目标是开发有效，正确和有用的算法来分析生物学数据并回答生物学问题。该研讨会将汇集到对算法问题感兴趣的计算生物学家社区，以探索未来的方向和开放问题，以将算法应用于生物学问题。该研讨会将主持杰出的科学家，学生和初级教师，讨论新兴的研究领域，开放问题以及算法生物学的巨大挑战。这将巩固计算生物学领域，Jumpstart新合作的算法基础，并帮助为该领域设置多年的方向。它将确保最重要的问题是由该领域解决的，并且那些有兴趣为这些问题研究算法的人都知道它们。该活动将导致公开可用的视频讲座，并发布了研讨会的讨论和结果的综合。它将通过提供确定重要的研究问题并提供视频讲座等教育资源的场所来推动对生物学，计算生物学和算法感兴趣的学生的教育。一组演讲者和研究人员将参加，扩大算法计算生物学领域所代表的观点。 该研讨会将探索诸如基因组学，宏基因组学，种群遗传学，系统生物学，生物学图像分析，系统发育，进化，RNA和蛋白质结构，蛋白质组学，转录和翻译，实验，生物信息学和生物学数据管理等领域。研讨会的重点将放在识别，宣传和形式化算法的开放问题，并更好地理解算法方法和思维如何有助于生物学研究。计算重点将放在具有可证明属性（例如运行时，正确性，近似比）的算法和技术上，而不是启发式方法。该研讨会将主持受邀和社区演讲者，并围绕科学讲座，讨论会议和开放问题会议进行构建。