Title :
Invited: Algorithmic challenges in DNA sequencing and disease association
Author :
Halldórsson, Bjarni V.
Author_Institution :
Sch. of Sci. & Eng., Reykjavik Univ., Reykjavik, Iceland
Abstract :
The amount of data generated by DNA sequencers is so large that in some cases it is now less expensive to repeat the experiment than to store the information generated by the experiment. Identifying which part of these data to use and developing algorithms for the analysis of these data is a formidable task. We consider some interesting algorithmic challenges related to large scale sequencing and its use in population genetics and disease associations.
Keywords :
DNA; data analysis; diseases; genetics; molecular biophysics; DNA sequencing; data analysis; disease association; population genetics; Algorithm design and analysis; Assembly; Bioinformatics; DNA; Diseases; Inference algorithms; Haplotypes; copy number variations; disease association; graph algorithms; population structure;
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-1320-9
Electronic_ISBN :
978-1-4673-1319-3
DOI :
10.1109/ICCABS.2012.6182621
