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Genomics Publications Published : 2006 - 01
The medaka genome: why we need multiple fish models in vertebrate functional genomics.
Medaka (Oryzias latipes) is widely used in research in the fields of ...
Mitani H, Kamei Y, Fukamachi S, Oda S, Sasaki T, Asakawa S, Todo T, Shimizu N,
http://dx.doi.org/10.1159/000095103
Genome Dyn. 2006;2:165-82.

The chicken genome.
The chicken has long been an important model organism for developmental ...
Burt DW,
http://dx.doi.org/10.1159/000095100
Genome Dyn. 2006;2:123-37.

Cracking the genomic piggy bank: identifying secrets of the pig genome.
Though researchers are uncovering valuable information about the pig ...
Mote BE, Rothschild MF,
http://dx.doi.org/10.1159/000095097
Genome Dyn. 2006;2:86-96.

The bovine genome.
In approximately 20 years, bovine genomics has progressed from synteny ...
Womack JE,
http://dx.doi.org/10.1159/000095095
Genome Dyn. 2006;2:69-78.

Primate genomes.
A particular interest in primate genetics was fueled by the release of the ...
Herlyn H, Zischler H,
http://dx.doi.org/10.1159/000095090
Genome Dyn. 2006;2:17-32.

Cell-free protein synthesis systems: biotechnological applications. Sadanand@ambergen.com Gite S, Lim M, Rothschild KJ,
Biotechnol Genet Eng Rev. 2006;22:151-69.

Zebrafish: at the nexus of functional and chemical genomics. Auckland 1001, New Zealand. Dodd A, Greenwood DR, Miller AL, Webb SE, Chambers SP, Copp BR, Love DR,
Biotechnol Genet Eng Rev. 2006;22:77-99.

Quantitation in proteomic experiments utilizing mass spectrometry. MO 64110, USA. Paoletti AC, Washburn MP,
Biotechnol Genet Eng Rev. 2006;22:1-19.

Normalization benefits microarray-based classification.
When using cDNA microarrays, normalization to correct labeling bias is a ...
Hua J, Balagurunathan Y, Chen Y, Lowey J, Bittner ML, Xiong Z, Suh E, Dougherty ER,
http://dx.doi.org/10.1155/BSB/2006/43056
EURASIP J Bioinform Syst Biol. 2006:43056.

BAG: a graph theoretic sequence clustering algorithm.
In this paper, we first discuss issues in clustering biological sequences ...
Kim S, Lee J,
Int J Data Min Bioinform. 2006;1(2):178-200.

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