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Chris Workman

Systems Biology Technical University of Denmark, Kongens Lyngby, Denmark 
"Chris Workman"
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Li T, Wernersson R, Hansen RB, et al. (2016) A scored human protein-protein interaction network to catalyze genomic interpretation. Nature Methods
Clément-Ziza M, Marsellach FX, Codlin S, et al. (2014) Natural genetic variation impacts expression levels of coding, non-coding, and antisense transcripts in fission yeast. Molecular Systems Biology. 10: 764
Jiang L, Edwards SM, Thomsen B, et al. (2014) A random set scoring model for prioritization of disease candidate genes using protein complexes and data-mining of GeneRIF, OMIM and PubMed records. Bmc Bioinformatics. 15: 315
Lindemose S, Jensen MK, Van de Velde J, et al. (2014) A DNA-binding-site landscape and regulatory network analysis for NAC transcription factors in Arabidopsis thaliana. Nucleic Acids Research. 42: 7681-93
Jensen MK, Lindemose S, de Masi F, et al. (2013) ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana. Febs Open Bio. 3: 321-7
Ucar D, Beyer A, Parthasarathy S, et al. (2009) Predicting functionality of protein-DNA interactions by integrating diverse evidence. Bioinformatics (Oxford, England). 25: i137-44
Fazio A, Jewett MC, Daran-Lapujade P, et al. (2008) Transcription factor control of growth rate dependent genes in Saccharomyces cerevisiae: a three factor design. Bmc Genomics. 9: 341
Bergholdt R, Størling ZM, Lage K, et al. (2007) Integrative analysis for finding genes and networks involved in diabetes and other complex diseases. Genome Biology. 8: R253
Cline MS, Smoot M, Cerami E, et al. (2007) Integration of biological networks and gene expression data using Cytoscape. Nature Protocols. 2: 2366-82
Hollunder J, Friedel M, Beyer A, et al. (2007) DASS: efficient discovery and p-value calculation of substructures in unordered data. Bioinformatics (Oxford, England). 23: 77-83
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