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2009. InterPro: the integrative protein signature database. Nucleic acids researchNucleic Acids Research. 37
2009. Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays. BMC Genomics. 10(1):221.
2009. Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.. BMC Genomics. 10:221.
2009. Model-based quality assessment and base-calling for second-generation sequencing data. Johns Hopkins University, Dept. of Biostatistics Working PapersJohns Hopkins University, Dept. of Biostatistics Working Papers.
2009. Motifs and cis-regulatory modules mediating the expression of genes co-expressed in presynaptic neurons. Genome BiologyGenome Biology. 10
2009. New records of phytoplankton for Bangladesh. 9. Some rare and a new species. Bangladesh Journal of Plant TaxonomyBangladesh Journal of Plant Taxonomy. 16
2009. A phylogenetic mixture model for the evolution of gene expression. Molecular biology and evolutionMolecular biology and evolution. 26
2009. A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays. Bioinformatics. 25(13):1609-1616.
2009. A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.. Bioinformatics. 25(13):1609-16.
2009. Predicting the distribution of Vibrio spp. in the Chesapeake Bay: a Vibrio cholerae case study. EcoHealthEcoHealth. 6
2009. Protein quantification across hundreds of experimental conditions. Proceedings of the National Academy of Sciences. 106(37):15544-15548.
2009. Protein quantification across hundreds of experimental conditions.. Proc Natl Acad Sci U S A. 106(37):15544-8.
2009. Serogroup, Virulence, and Genetic Traits of Vibrio Parahaemolyticus in the Estuarine Ecosystem of Bangladesh. Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.. 75
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.. Appl Environ Microbiol. 75(7):2046-56.
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.. Appl Environ Microbiol. 75(7):2046-56.
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.. Appl Environ Microbiol. 75(7):2046-56.
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.. Appl Environ Microbiol. 75(7):2046-56.
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.. Appl Environ Microbiol. 75(7):2046-56.
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.. Appl Environ Microbiol. 75(7):2046-56.
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils. Applied and environmental microbiologyApplied and environmental microbiology. 75
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils. Applied and environmental microbiologyApplied and environmental microbiology. 75
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils. Applied and environmental microbiologyApplied and environmental microbiology. 75
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils. Applied and environmental microbiologyApplied and environmental microbiology. 75
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils. Applied and environmental microbiologyApplied and environmental microbiology. 75