Student Travel Support: International Workshop on Big Data in Life Sciences, Atlanta, GA, September 9, 2015

大数据问题和挑战已经成为现代计算生物学和生物信息学的现实。该提案的目的是申请资金，用于支持美国机构的学生和博士后研究人员前往计算机械协会（ACM）生命科学大数据国际研讨会（BigLS），将于2015年9月9日在佐治亚州亚特兰大举行，与2015年ACM生物信息学会议一起举行。计算生物学和健康信息学（ACM-BCB）。该旅行奖将帮助学生和博士后研究人员在生命科学大数据分析的新兴领域中定位。它将为支持学生提供一个独特的机会，展示他们正在进行的工作，与该领域的专家和同行建立联系，接受指导，同时为研讨会的技术计划做出贡献。它将帮助培养下一代科学工作者，以应对生命科学这一关键领域的挑战。资金将用于支持多达10名学生和博士后研究人员，在大数据和生命科学的交叉领域工作。将通过广泛宣传的竞争性程序挑选获得支助者，包括提交旅费赠款申请，并由讲习班组织委员会审查。优先考虑女性和代表性不足的少数群体，第一代大学生和本科研究人员。该研讨会将以同行评审论文和特邀演讲为特色，重点讨论生命科学中大数据研究的五个关键研究主题：i）分子生物学中大数据分析的可扩展算法和技术，ii）大数据生物学和信息学的统计和综合方法，iii）大数据生物学的高性能计算方法和软件，iv）生命科学中大数据的科学工作流程和平台，v）用于管理生物医学信息学中大数据的软件和硬件解决方案。今年的特别重点主题是大数据分析的科学工作流程，包括HPC和云环境中的工作流程设计、优化、管理和执行。

Big Data problems and challenges have become a reality in modern day computational biology and bioinformatics. The objective of this proposal is to request funds that will be used to support students and postdoctoral researchers from U.S. institutions to travel to the Association for Computing Machinery (ACM) International Workshop on Big Data in Life Sciences (BigLS), to be held on September 9, 2015 in Atlanta, GA, in conjunction with the 2015 ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB). This travel award will help orient students and postdoctoral researchers in the emerging area of Big Data analytics in life sciences. It will create a unique opportunity for supported students to present their on-going work, network with experts and peers in the field, receive mentoring, while contributing to the workshop's technical program. It will help to prepare the future generation scientific workforce to meet the challenges of this critical area of life sciences.Funds will be used to support up to 10 students and postdoctoral researchers, working in areas at the intersection of Big Data and life sciences. Recipients of the support will be selected via a widely advertised competitive process involving the submission of a travel grant application, and review by the workshop's organizational committee. Preference will be given to women and underrepresented minority groups, first-generation college students, and undergraduate researchers. The workshop will feature peer-reviewed papers and invited talks on five key research themes that underline Big Data research in life sciences: i) scalable algorithms and techniques for Big Data analytics in molecular biology, ii) statistical and integrative approaches to Big Data biology and informatics, iii) high performance computing methods and software for Big Data biology, iv) scientific workflows and platforms for Big Data in life sciences, v) software and hardware solutions for managing Big Data in biomedical informatics. This year's special emphasis theme is on scientific workflows for Big Data analytics, including workflows design, optimization, management and execution in HPC and cloud environments.