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A strategy for assembling the maize (Zea mays L.) genome
Author(s) -
Scott Emrich,
Srinivas Aluru,
Yan Fu,
TsuiJung Wen,
Mahesh Narayanan,
Ling Guo,
Daniel Ashlock,
Patrick S. Schnable
Publication year - 2004
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/bth017
Subject(s) - sequence assembly , genome , scalability , computer science , software , pairwise comparison , computational biology , zea mays , reference genome , data mining , biology , gene , genetics , artificial intelligence , gene expression , transcriptome , database , agronomy , programming language
Because the bulk of the maize (Zea mays L.) genome consists of repetitive sequences, sequencing efforts are being targeted to its 'gene-rich' fraction. Traditional assembly programs are inadequate for this approach because they are optimized for a uniform sampling of the genome and inherently lack the ability to differentiate highly similar paralogs.

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