Alignment-free estimation of nucleotide diversity
Author(s) -
Bernhard Haubold,
Floyd A. Reed,
Peter Pfaffelhuber
Publication year - 2010
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btq689
Subject(s) - estimation , diversity (politics) , nucleotide diversity , computer science , nucleotide , computational biology , genetics , biology , statistics , mathematics , genotype , gene , economics , management , sociology , anthropology , haplotype
Sequencing capacity is currently growing more rapidly than CPU speed, leading to an analysis bottleneck in many genome projects. Alignment-free sequence analysis methods tend to be more efficient than their alignment-based counterparts. They may, therefore, be important in the long run for keeping sequence analysis abreast with sequencing.
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