25th June - 1st July | 2006 | Hinxton |UK |
About the course |
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The main objective of the course is to introduce the participants to
advanced bioinformatics and statistics methodologies and software tools
for analyzing and managing microarray data. |
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The course is aimed at advanced PhD students and post-doctoral researchers who are applying microarray technologies and bioinformatics methods in
their research, and who are already familiar with the basic microarray
data analysis methods. |
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Over the past few years microarrays have become an established technology in molecular biology used in an increasing number of laboratories. An increasing number of data analysis tools are becoming available to researchers of different levels of expertise, and several courses on microarray data analysis are given annually by EMBO and other organizations. Nevertheless, the data analysis are still a major bottleneck in the utilization of these data the microarray users often find that the naïve analysis methods do not bring the desired results, and at the same time new increasingly sophisticated microarray platforms are introduced, and the new methods are needed to analyze their data. The course will be aimed at familiarizing the participants with such advanced methodologies and teaching to use the advanced tools. |
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Target Audience |
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EMBO Courses are primarily open to applicants from member states of the EMBC. Applicants from outside the EMBC countries will only be given low priority. The student selection will be done by the co-organisers of the course in consultation with the EMBO. The student selection criteria will be
Students at early stages of their career will be accepted if they can demonstrate the relevance of their work to the objectives of the course. Students who will have performed DNA-array experiments will be preferred. Ideally the students should have data from their own DNA-array experiments to analyse during the course. Applicants from industry will not be considered for funding from EMBO. Staff from the host institutions will not be taken as students, but will be allowed to participate in the lectures. The students from the UK will not be given any preference. Deadline for applications: 18 April 2006. All participants will be asked, in turn, to give a 10 minutes presentation
on their work and data. The presentations will be made over
dinner.
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