@inproceedings{0a8fdea5ab8f4a7eb5057dc53dcca792,
title = "Parallel mapping approaches for GNUMAP",
abstract = "Mapping short next-generation reads to reference genomes is an important element in SNP calling and expression studies. A major limitation to large-scale whole-genome mapping is the large memory requirements for the algorithm and the long run-time necessary for accurate studies. Several parallel implementations have been performed to distribute memory on different processors and to equally share the processing requirements. These approaches are compared with respect to their memory footprint, load balancing, and accuracy. When using MPI with multi-threading, linear speedup can be achieved for up to 256 processors.",
keywords = "Biology computing, Next-generation sequencing, Parallel computing, Sequence mappers, Short-read mapping",
author = "Clement, \{Nathan L.\} and Clement, \{Mark J.\} and Quinn Snell and Johnson, \{W. Evan\}",
year = "2011",
doi = "10.1109/IPDPS.2011.184",
language = "English (US)",
isbn = "9780769543857",
series = "IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum",
pages = "435--443",
booktitle = "2011 IEEE International Symposium on Parallel and Distributed Processing, Workshops and Phd Forum, IPDPSW 2011",
note = "25th IEEE International Parallel and Distributed Processing Symposium, Workshops and Phd Forum, IPDPSW 2011 ; Conference date: 16-05-2011 Through 20-05-2011",
}