Daniel L. Mace, Ph.D.
Affiliations: | 2009 | Computational Biology and Bioinformatics | Duke University, Durham, NC |
Area:
Bioinformatics, Computer Science, StatisticsGoogle:
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Publications
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Araya CL, Kawli T, Kundaje A, et al. (2015) Corrigendum: Regulatory analysis of the C. elegans genome with spatiotemporal resolution. Nature |
Araya CL, Kawli T, Kundaje A, et al. (2014) Regulatory analysis of the C. elegans genome with spatiotemporal resolution. Nature. 512: 400-5 |
Mace DL, Weisdepp P, Gevirtzman L, et al. (2013) A high-fidelity cell lineage tracing method for obtaining systematic spatiotemporal gene expression patterns in Caenorhabditis elegans. G3 (Bethesda, Md.). 3: 851-63 |
Mace DL, Weisdepp P, Gevirtzman L, et al. (2013) A high-fidelity cell lineage tracing method for obtaining systematic spatiotemporal gene expression patterns in caenorhabditis elegans G3: Genes, Genomes, Genetics. 3: 851-863 |
Busch W, Moore BT, Martsberger B, et al. (2012) A microfluidic device and computational platform for high-throughput live imaging of gene expression. Nature Methods. 9: 1101-6 |
Pruteanu-Malinici I, Mace DL, Ohler U. (2011) Automatic annotation of spatial expression patterns via sparse Bayesian factor models. Plos Computational Biology. 7: e1002098 |
Mace DL, Varnado N, Zhang W, et al. (2010) Extraction and comparison of gene expression patterns from 2D RNA in situ hybridization images. Bioinformatics (Oxford, England). 26: 761-9 |
Dinneny JR, Long TA, Wang JY, et al. (2008) Cell identity mediates the response of Arabidopsis roots to abiotic stress. Science (New York, N.Y.). 320: 942-5 |
Brady SM, Orlando DA, Lee JY, et al. (2007) A high-resolution root spatiotemporal map reveals dominant expression patterns. Science (New York, N.Y.). 318: 801-6 |
Mace DL, Lee JY, Twigg RW, et al. (2006) Quantification of transcription factor expression from Arabidopsis images. Bioinformatics (Oxford, England). 22: e323-31 |