14th Annual International Conference on Critical Assessment of Massive Data Analysis (CAMDA 2015)

  • Djork-Arné Clevert (Organiser)
  • Joaquin Dopazo (Organiser)
  • Hochreiter, S. (Organiser)
  • Lan Hu (Organiser)
  • David Kreil (Organiser)

Activity: Participating in or organising an eventOrganising a conference, workshop, ...

Description

The emergence of Big Data in the life sciences is considered one of the grand challenges of our time. The interpretation of large data sets is now one of the scientific key techniques in the post genomic era. Still the data analysis bottleneck limits genome scale experiments in providing new medical and biological insights at a larger scale. This trend towards the need for analysing massive data sets is further accelerated by novel high throughput sequencing technologies and the increasing size of biomedical studies. CAMDA focuses on the analysis and integration of the massive data sets now prevalent in the life sciences. It introduces new approaches and solutions to the Big Data problem, and presents new techniques in the field of bioinformatics, data analysis, and statistics for handling and processing challenging large data sets. By discussing cutting-edge problems and opportunities, the conference offers researchers from a wide range of fields a unique opportunity to benefit from a critical comparative evaluation of approaches to exploiting Big Data in the life-sciences.
Period10 Jul 201511 Jul 2015
Event typeConference
LocationIrelandShow on map

Fields of science

  • 305 Other Human Medicine, Health Sciences
  • 102019 Machine learning
  • 304 Medical Biotechnology
  • 303 Health Sciences
  • 302 Clinical Medicine
  • 301 Medical-Theoretical Sciences, Pharmacy
  • 102 Computer Sciences
  • 106005 Bioinformatics
  • 106007 Biostatistics
  • 304003 Genetic engineering
  • 106041 Structural biology
  • 102010 Database systems
  • 101018 Statistics
  • 106023 Molecular biology
  • 106002 Biochemistry
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 101004 Biomathematics
  • 102004 Bioinformatics

JKU Focus areas

  • Health System Research
  • Computation in Informatics and Mathematics
  • Clinical Research on Aging
  • Nano-, Bio- and Polymer-Systems: From Structure to Function
  • Medical Sciences (in general)