(mobo import Concept___Event_For_Confident-migrated) |
m (Text replacement - "[^=]User:Curator 83" to "Ch") |
||
| Line 25: | Line 25: | ||
<!-- PLEASE ADAPT OR DELETE THIS PART COMPLETELY - You can just paste in the call for papers and remove this and the last line | <!-- PLEASE ADAPT OR DELETE THIS PART COMPLETELY - You can just paste in the call for papers and remove this and the last line | ||
| − | The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) is the flagship conference of the ACM SIGBio. ACM-BCB 2018 is the conference's ninth year, building upon the success of the first eight meetings in Niagara Falls, | + | The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) is the flagship conference of the ACM SIGBio. ACM-BCB 2018 is the conference's ninth year, building upon the success of the first eight meetings in Niagara Falls,Chicago, Orlando, Washington DC, Newport Beach, Atlanta, Seattle and Boston. |
ACM-BCB 2018 will be held in Washington, DC on August 29-September 1, 2018. The conference is the premier conference dedicated to interdisciplinary research linking computer science, mathematics, statistics, biology, bioinformatics, biomedical informatics, and health informatics. The past few decades have seen tremendous growth in the scale and complexity of biological and medical data including recent mainstream recognition of big data challenges. This conference serves to showcase leading-edge research on new technologies and techniques around gathering, processing, analyzing, and modeling of data and information for a variety of scientific, clinical, and healthcare applications, from bench to bedside. | ACM-BCB 2018 will be held in Washington, DC on August 29-September 1, 2018. The conference is the premier conference dedicated to interdisciplinary research linking computer science, mathematics, statistics, biology, bioinformatics, biomedical informatics, and health informatics. The past few decades have seen tremendous growth in the scale and complexity of biological and medical data including recent mainstream recognition of big data challenges. This conference serves to showcase leading-edge research on new technologies and techniques around gathering, processing, analyzing, and modeling of data and information for a variety of scientific, clinical, and healthcare applications, from bench to bedside. | ||
OpenResearchStack: 0.0.29
Confident: 1.9.10
