|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Title:||High-Performance Haplotype Assembly|
|Citation:||Aldinucci M, Bracciali A, Marschall T, Patterson M, Pisanti N & Torquati M (2015) High-Performance Haplotype Assembly In: Serio CDI, Lio P, Nonis A, Tagliaferri R (ed.) Computational Intelligence Methods for Bioinformatics and Biostatistics: 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers, Cham, Switzerland: Springer. 11th International Meeting, CIBB 2014, 26.6.2014 - 28.6.2014, Cambridge, pp. 245-258.|
|Series/Report no.:||Lecture Notes in Computer Science, 8623|
|Conference Name:||11th International Meeting, CIBB 2014|
|Abstract:||The problem ofHaplotype Assemblyis an essential step in human genome analysis. It is typically formalised as theMinimum Error Correction(MEC) problem which is NP-hard. MEC has been approached using heuristics, integer linear programming, and fixed-parameter tractability (FPT), including approaches whose runtime is exponential in the length of the DNA fragments obtained by the sequencing process. Technological improvements are currently increasing fragment length, which drastically elevates computational costs for such methods. We presentpWhatsHap, a multi-core parallelisation ofWhatsHap, a recent FPT optimal approach to MEC.WhatsHapmoves complexity from fragment length to fragment overlap and is hence of particular interest when considering sequencing technology’s current trends.pWhatsHapfurther improves the efficiency in solving the MEC problem, as shown by experiments performed on datasets with high coverage.|
|Status:||Book Chapter: publisher version|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|Affiliation:||University of Turin|
Computing Science - CSM Dept
Claude Bernard University Lyon 1
University of Pisa
University of Pisa
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