Title :
SILP3: Maximum likelihood approach to scaffolding
Author :
Mandric, Igor ; Lindsay, John ; Mandoiu, Ion ; Zelikovsky, Alexander
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
Abstract :
Scaffolding is the important stage of genome assembly consisting of orienting and ordering contigs based on read pairs. We present a scalable scaffolding algorithm that finds most likely contig orientation using integer linear program solved by a non-serial dynamic programming approach. We then formulate the problem of finding most likely contig ordering as an optimization problem and propose a novel ordering algorithm improving over our previous scaffolding tool SILP2.
Keywords :
bioinformatics; genomics; integer programming; linear programming; maximum likelihood estimation; genome assembly; integer linear program; maximum likelihood approach; nonserial dynamic programming approach; optimization problem; ordering algorithm; scalable scaffolding algorithm; Assembly; Bioinformatics; Dynamic programming; Genomics; Maximum likelihood estimation; Optimization;
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4799-5786-6
DOI :
10.1109/ICCABS.2014.6863940