Efficient Algorithms for Counting and Reporting Segregating Sites in Genomic Sequences-Reference-Cited by-同舟云学术

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Efficient Algorithms for Counting and Reporting Segregating Sites in Genomic Sequences

Published:2007-09 Issue:7 Volume:14 Page:1001-1010
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Christodoulakis Manolis¹,Golding G. Brian²,Iliopoulos Costas S.¹,Ardila Yoan José Pinzón³,Smyth William F.⁴

Affiliation:

1. Department of Computer Science, King's College London, London, United Kingdom.

2. Department of Biology, McMaster University, Hamilton, Canada.

3. National University of Colombia, Department of System Engineering and Industrial Engineering, Bogota D.C., Colombia.

4. Department of Computing & Software, McMaster University, Hamilton, Canada, and Department of Computing, Curtin University, Perth, Australia.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2006.0136

Reference9 articles.

1. Estimating the Age of the Common Ancestor of a DNA Sample Using the Number of Segregating Sites

2. Multilocus patterns of nucleotide variability and the demographic and selection history of Drosophila melanogaster populations

3. Biological identifications through DNA barcodes

4. Statistical Tests of the Coalescent Model Based on the Haplotype Frequency Distribution and the Number of Segregating Sites

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1. Status and origin of Egyptian local rabbits in comparison with Spanish common rabbits using mitochondrial DNA sequence analysis;World Rabbit Science;2020-06-30

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