Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/24137
Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
Author(s): | Aldinucci, Marco Bracciali, Andrea Pisanti, Nadia Torquati, Massimo |
Contact Email: | abb@cs.stir.ac.uk |
Title: | Towards High-Performance Haplo- type Assembly for Future Sequencing |
Citation: | Aldinucci M, Bracciali A, Pisanti N & Torquati M (2014) Towards High-Performance Haplo- type Assembly for Future Sequencing. Eleventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Cambridge, UK, 26.06.2014-28.06.2014. http://www.cussb.unisr.it/cibb2014/conf.html#accepted |
Issue Date: | Jun-2014 |
Date Deposited: | 22-Aug-2016 |
Conference Name: | Eleventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics |
Conference Dates: | 2014-06-26 - 2014-06-28 |
Conference Location: | Cambridge, UK |
Abstract: | The problem of Haplotype Assembly is an essential step in human genome analysis. Being the well known MEC model for its solution NP-hard, it is currently addressed by using algorithms that grow exponentially with the length of DNA fragments obtained by the sequencing process. Technological improvements will reduce fragmentation, increase fragment length and make such computational costs worst. WHATSHAP is a recently proposed novel approach which moves complexity from fragment length to fragment sovrapposition, improving the perspective of computational costs, but Haplotype Assembly still remains a demanding computational problem. Directions towards high-performance computing Haplotype Assembly for future sequencing, based on parallel WHATSHAP, are discussed in this paper. |
Status: | AM - Accepted Manuscript |
Rights: | Author retains copyright |
URL: | http://www.cussb.unisr.it/cibb2014/conf.html#accepted |
Files in This Item:
File | Description | Size | Format | |
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cibb-sample-2014.pdf | Fulltext - Accepted Version | 174.62 kB | Adobe PDF | View/Open |
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