BIOINFORMATICS

05-06 July, 2012 - Istanbul, Turkey
KALYON HOTEL, Istanbul - Turkey


Lecturer:
Professor S.K. Halgamuge

University of Melbourne
AUSTRALIA

ABOUT THE INSTRUCTOR
http://www.mech.unimelb.edu.au

Dr. Halgamuge is a Professor in the Melbourne School of Engineering of The University of Melbourne and a member of the school wide

initiative of Biomedical Engineering. He received Dipl.‐Ing (1990) and Dr.‐Ing (1995) degrees in Electrical Engineering from Technical University of Darmstadt, Germany.

He leads a group of postdoctoral fellows and PhD students working on Pattern Recognition and Optimization looking into problems in Bioinformatics and Sustainable Energy.

Dr. Halgamuge is the co‐author of over 50 journal papers, 150 conference papers (h‐index 20) and 15 book chapters. Among them are 6 top ranked journal papers based on ISI citations in their respective journals.

The 8 books edited by Dr. Halgamuge include: Frontiers in the Convergence of Bioscience and Information Technologies (IEEE Computer Society Press, 2007);

Classification and Clustering for Knowledge Discovery (Springer), 2005 and Computational Intelligence for Modelling and Prediction (Springer), 2005.

Dr. Halgamuge serves on the editorial boards of 6 journals, chaired about 12 conferences and served as a member of about 70 international program committees. He is an Associate Editor of BMC Bioinformatics. 

He has conducted international consultancies for UNDP and was an expert technical adviser to the Australian government Department of Health and Ageing.

CONTACT:
Dr Meire Gomes
meire.gomes@ironix-conferences.com
IRONIX-CONTINUING EDUCATION
www.ironix-conferences.com
info@ironix-conferences.com
Fax: 00 351 234 410 097

The 3‐day intensive course is aimed at presenting theory, current methods and exciting R&D work in Bioinformatics highlighting applications useful in Drug Discovery and agriculture in a clear and easy to understand form.

Bioinformatics:

Bioinformatics is considered as one of the technologies that will revolutionize the mankind in the 21st Century. It is the integration of Computer Science and Engineering to help solving challenging problems encountered in Biology.

The influx of data generated by the various genomic projects has led to a dramatic increase in research leading to very useful applications in Pharmaceutical industries and agriculture.

With the perspective of personalised Medicine in

the near future, most medical research establishments are rapidly developing expertise in this new interdisciplinary area. 



REGISTRATION FEE:

REGULAR REGISTRATION: 680, EUR (*)
DSL / ACEX PARTICIPANTS: 350, EUR (*)

(*) UNTIL 15 MARCH, 2012
AFTER: 
980, EUR (REGULAR REGISTARTION)
450, EUR ( DSL/ACEX PARTICIPANTS)

Registration includes:
- 2 Full Days Course,
- Printed Course Materials, in Book Format
- Course Certificate,
- 2 Refreshments Daily,
- Lunch at Hotel Venue (Daily / 2 Days)


COURSE BROCHURE / click here
NOTE: this course is limited to a small number of participants, reserve your place soon

WHO SHOULD ATTEND?

This course offers R&D personnel, lecturers, programme managers, computer scientists, engineers and technical specialists an opportunity to appreciate the emerging area of Bioinformatics and to learn the methodology for applying algorithms, tools and techniques to specific areas of Bioinformatics.

Participants are assumed to have knowledge of basic mathematics and in particular probability.

Some knowledge of Biology and computer programming is an advantage, and but not essential.


BENEFITS OF ATTENDING THE COURSE

At the end of the course, participants will have thorough understanding of pattern recognition issues involved in Bioinformatics and a practical understanding of how to apply some of these methods to their own problems and domains. Participant will also benefit from the examples taken from cutting edge research.



THE COURSE CONSISTS OF:

LECTURES on Computational issues in Bioinformatics, methodologies (Multiple alignment methods in DNA and Protein Sequences, Hidden Markov Models, Dynamic

Programming, Clustering and Classification) and applications

APPLICATION CASE STUDIES on Motif Search, Motif Discovery, Species Separation,  metabolomic data analysis and Splice Site Detection

TUTORIALS involving practice questions and software demonstrations

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