Workshop on Future Directions for Algorithms in Biology

计算已经成为生物学进步的关键，而开发高效、正确和有用的算法来分析生物数据和回答生物问题是一个重要而困难的研究目标。这个工作坊将把对算法问题感兴趣的计算生物学家社区聚集在一起，探索在将算法应用于生物学问题方面的未来方向和未决问题。研讨会将邀请杰出的科学家、学生和初级教师讨论算法生物学中新出现的研究领域、开放问题和重大挑战。这将巩固计算生物学领域的算法基础，启动新的合作，并帮助为该领域设定多年的方向。它将确保外地解决最重要的问题，并确保那些有兴趣为这些问题研究算法的人意识到这些问题。这项活动将产生可供公众观看的视频讲座以及讲习班讨论和结果的出版综合。它将通过提供一个确定重要研究问题的场所和提供视频讲座等教育资源，来促进对生物、计算生物学和算法感兴趣的学生的教育。一群不同的演讲者和研究人员将参加，拓宽算法计算生物学领域的观点。研讨会将探讨基因组学、元基因组学、种群遗传学、系统生物学、生物图像分析、系统发生学、进化论、RNA和蛋白质结构、蛋白质组学、转录和翻译、实验设计、生物信息学和生物数据管理等领域的算法问题。研讨会的重点将是确定、宣传和形式化算法开放问题，并更好地理解算法方法和思维如何有助于生物学研究。计算的重点将是具有可证明属性的算法和技术(例如，运行时、正确性、近似比)，而不是启发式。研讨会将接待受邀的和社区的演讲者，并围绕科学讲座、讨论会议和公开问题会议进行组织。

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.