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CSHL 2021 Genome Informatics Conference

CSHL 2021基因组信息学会议

基本信息

批准号：
10318404
负责人：
DAVID J. STEWART
金额：
$ 3.4万
依托单位：
COLD SPRING HARBOR LABORATORY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-07 至 2022-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10318404
关键词：
Algorithmic Analysis Algorithms American Area Asians Bioinformatics Biological Biology Communities Computers Data Data Set Data Storage and Retrieval Development Discipline Ensure Environment European Expert Systems Explosion Faculty Fostering Genome Genome engineering Genomics Goals Image Industrialization Informatics Information Management Information Systems International Joints Laboratories Length of Stay Molecular Molecular Biology Ontology Oral Organism Participant Pathogenesis Play Postdoctoral Fellow Process Publications Published Comment Research Research Institute Research Personnel Resources Schedule Science Scientist Seasons Selection Criteria Senior Scientist Series Software Engineering System Trust Underrepresented Minority Visualization Woman Work base biological systems comparative data modeling database design design digital genome analysis genome annotation genome database genome sciences genome-wide genomic data graduate student interest lectures meetings member microbial next generation novel posters skills software systems success symposium tool unpublished works virtual

项目摘要

GENOME INFORMATICS NOVEMBER 3-6, 2021 ABSTRACT The Cold Spring Harbor Laboratory conference on Genome Informatics will focus on the provision and utilization of large scale genomic data and annotations. Genomic resources provide the fundamental descriptions of an increasing array of organisms at the molecular level. This meeting forms part of a series that alternates annually between Cold Spring Harbor, USA and Hinxton, UK. The goal of the series is to explore both the latest provision of these resources, and perhaps most importantly, their use as engines of biological discovery. This ranges from the storage of data and their associated data models, to the design of effective algorithms to uncover non-obvious aspects of these datasets, to ontologies to concisely describe biological information, and software systems to support curation, visualization, and exploration. The conference also covers the use of genomics in combination with various imaging applications and the latest attempts to understand microbial pathogenesis based on genomics. The conference has expanded its remit over the last few years, to ensure it remains current with the latest applications of informatics, all the while ensuring a strong focus on biological informatics. The conference brings together some of the leading scientists in this growing field, and we strongly encourage researchers from other large scale information handling disciplines to attend.

基因组信息学