GENSIPS 2014: Workshop on Genomic Signal Processing and Statistics

计算系统生物学是一个结合生物学、计算机科学、工程学和统计学的多学科研究领域。该研究领域的目标是开发和应用计算方法来分析复杂的生物现象。2014年IEEE基因组信号处理和统计研讨会（GENSIPS）旨在汇集生物学，计算机科学，信号处理，工程和统计学方面的专业知识，并提供一个论坛来讨论研究界面临的挑战。GENSIPS'14与2014年IEEE全球信号和信息处理会议（GlobalSIP'14）合作，这是IEEE信号处理协会的旗舰会议，汇集了13个专题讨论会和2个研讨会。GENSIPS是两个研讨会之一，与算法、大数据和机器学习研讨会具有协同作用。这种伙伴关系预计将促进合作和跨学科的研究思路。智力优势：GENSIPS-14的主题将围绕计算系统生物学和信号处理。一个主要目标是提供一个论坛，以解决该领域前沿的研究问题，包括下一代测序，多模态基因组学数据的整合，调控和信号网络的建模，单细胞分析，宏基因组学以及这个快速增长领域的其他几个主题。更广泛的影响：与GlobalSIP-14的合作关系吸引了来自信号处理协会的参与者。为了使信号处理研究人员能够快速启动计算系统生物学，GENSIPS-14提供了三个关于药物效应预测，单细胞分析和成像信息学的教程。GENSIPS-14的另一项重要使命是促进研究生和博士后研究人员（特别是妇女和少数民族）的参与，并促进下一代科学家在计算系统生物学方面的教育和发展。GENSIPS-14将提供旅行奖励，以鼓励研究生参加。具体而言，20-30%的奖金将用于鼓励妇女和少数民族学生参与并向GENSIPS-14提交论文。

Computational systems biology is a multi-disciplinary research area that combines biology, computer science, engineering and statistics. The goal of this research area is to develop and apply computational methods for analyzing of complex biological phenomena. The 2014 IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS) aims to bring together expertise in biology, computer science, signal processing, engineering and statistics, and provide a forum to discuss challenges confronting the research community. GENSIPS'14 teamed up with the 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP'14), a flagship conference in IEEE Signal Processing Society that brings together 13 symposia and 2 workshops. GENSIPS is one of the two workshops, and is synergistic to symposiums on algorithms, big data and machine learning. Such a partnership is anticipated to foster collaborations and interdisciplinary research ideas. Intellectual Merit: The theme of GENSIPS-14 is going to be centered around computational systems biology and signal processing. One major goal is to provide a forum for addressing research problems at the forefront of this area, including next-generation sequencing, integration of multi-modality genomics data, modeling of regulatory and signaling networks, single-cell analysis, metagenomics, and several other topics in this fast growing field. Broader Impact: The partnership with GlobalSIP-14 attracts participations from the signal processing society. To enable signal processing researcher to jump-start in computational systems biology, GENSIPS-14 offers three tutorials on drug effect prediction, single-cell analysis, and imaging informatics. Another important mission of GENSIPS-14 is to promote the participation of graduate students and post-doctoral researchers (especially women and minority), and foster education and development of the next-generation scientists in computational systems biology. GENSIPS-14 will provide travel awards to encourage graduate students to participate. Specifically, 20-30% of the awards will be allocated to encourage women and minority students to participate and submit papers to GENSIPS-14.