A comparative analysis of parallel computing approaches for genome assembly-Reference-Cited by-同舟云学术

A comparative analysis of parallel computing approaches for genome assembly

Published:2011-03 Issue:1 Volume:3 Page:57-63
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Ahmed Munib,Ahmad Ishfaq,Khan Samee Ullah

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1007/s12539-011-0062-0.pdf

Reference21 articles.

1. Batzoglou, S., Jaffe, D., Stanley, K., Butler, J., Gnerre, S., Mauceli, E., Berger, B., Mesirov, J., Lander, E. 2002. Arachne: A whole-genome shotgun assembler. Genome Research 12, 177–189.

2. Bentley, D. 2006. Whole-genome re-sequencing. Curr Opin Genet Dev 16, 545–552.

3. Edgar, R. 2004. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32, 1792–1797.

4. Ewing, B., Hillier, L., Wendl, M., Green, P. 1998. Base-calling of automated sequencer traces using Phred. I. Accuracy assessment, genome research. Cold Spring Harbor Laboratory Press 8, 175–185.

5. Grama, A., Gupta, A., Kumar, V. 1993. Isoefficiency: Measuring the scalability of parallel algorithms and architectures. IEEE parallel and Distributed Technology 1, 12–21.

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