Publications

Wilken, S. E. et al. (2019) Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi. Metabolic Engineering Communications. 10.1016/j.mec.2019.e00107

Daly, P. et al. (2019) Glucose-Mediated Repression of Plant Biomass Utilization in the White-Rot Fungus Dichomitus squalens.. Applied and Environmental Microbiology. 10.1128/aem.01828-19

Kelly, W. J. et al. (2019) Occurrence and expression of genes encoding methyl-compound production in rumen bacteria. Animal Microbiome. 10.1186/s42523-019-0016-0

Khosravi, C. et al. (2019) Transcriptome analysis of Aspergillus niger xlnR and xkiA mutants grown on corn Stover and soybean hulls reveals a highly complex regulatory network. BMC Genomics. 10.1186/s12864-019-6235-7

Schada von Borzyskowski et al. (2019) Marine Proteobacteria metabolize glycolate via the β-hydroxyaspartate cycle. Nature. 10.1038/s41586-019-1748-4

Sieber et al. (2019) Unusual Metabolism and Hypervariation in the Genome of a Gracilibacterium (BD1-5) from an Oil-Degrading Community. mBio. 10.1128/mbio.02128-19

Álvarez-Escribano, I. et al. (2019) Genome sequencing of evolved aspergilli populations reveals robust genomes, transversions in A. flavus, and sexual aberrancy in non-homologous end-joining mutants. BMC Biology. 10.1186/s12915-019-0702-0

Sahib, M. R. et al. (2019) Improved Draft Genome Sequence of Microbacterium sp. Strain LKL04, a Bacterial Endophyte Associated with Switchgrass Plants. Microbiology Resource Announcements. 10.1128/mra.00927-19

LaPierre et al. (2019) De novo Nanopore read quality improvement using deep learning. BMC Bioinformatics. 10.1186/s12859-019-3103-z

Smith, M. W. et al. (2019) Genomic Signatures for Sedimentary Microbial Utilization of Phytoplankton Detritus in a Fast-Flowing Estuary. Frontiers in Microbiology. 10.3389/fmicb.2019.02475

Badis et al. (2019) Hidden diversity in the oomycete genus Olpidiopsis is a potential hazard to red algal cultivation and conservation worldwide. European Journal of Phycology. 10.1080/09670262.2019.1664769

Morton, J. et al. (2019) Learning representations of microbe–metabolite interactions. Nature Methods. 10.1038/s41592-019-0616-3