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Genome Biology|March 21, 2014
Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategiesDavid B Neale, Jill L Wegrzyn, Kristian A Stevens, et al.Genome Biology|March 4, 2014
Inferring gene function from evolutionary change in signatures of translation efficiencyAnita Krisko, Tea Copic, Toni Gabaldón, et al.Genome Biology|March 4, 2014
Direct measurement of transcription rates reveals multiple mechanisms for configuration of the Arabidopsis ambient temperature responseKate Sidaway-Lee, Maria J Costa, David A Rand, et al.Genome Biology|March 4, 2014
Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell linesPaul Geeleher, Nancy J Cox, R Stephanie HuangGenome Biology|March 4, 2014
A comprehensive evaluation of assembly scaffolding toolsMartin Hunt, Chris Newbold, Matthew Berriman, et al.Genome Biology|May 27, 2008
Sequence-based prediction of protein-protein interactions by means of codon usageHamed Shateri Najafabadi, Reza SalavatiGenome Biology|February 29, 2008
Construction, alignment and analysis of twelve framework physical maps that represent the ten genome types of the genus OryzaHyeRan Kim, Bonnie Hurwitz, Yeisoo Yu, et al.Genome Biology|February 29, 2008
No evidence of a Neanderthal contribution to modern human diversityJason A Hodgson, Todd R DisotellGenome Biology|February 1, 2017
Response to: Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studiesKevin McGregor, Aurélie Labbe, Celia M T GreenwoodGenome Biology|February 1, 2017
Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studiesMohammad W Hattab, Andrey A Shabalin, Shaunna L Clark, et al.Pageof 642