SIMAGE: SImulation of DNA-MicroArray Gene Expression data

Background: Simulation of DNA-microarray data serves at least three purposes: (i) optimizing the design of an intended DNA microarray experiment, (ii) comparing existing pre-processing and processing methods for best analysis of a given DNA microarray experiment, (iii) educating students, lab-workers and other researchers by making them aware of the many factors influencing DNA microarray experiments. Results: Our model has multiple layers of factors influencing the experiment. The relative influence of such factors can differ significantly between labs, experiments within labs, etc. Therefore, we have added a module to roughly estimate their parameters from a given data set. This guarantees that our simulated data mimics real data as closely as possible. Conclusions: We introduce a model for the simulation of dual-dye cDNA-microarray data closely resembling real data and coin the model and its software implementation SIMAGE which stands for simulation of microarray gene expression data. The software is freely accessible at: http://bioinformatics.biol.rug.nl/websoftware/simag

Gram-positive anaerobe <i>cocci </i>(GPAC) are underrepresented in the microbiome of filaggrin-deficient human skin

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The relative value of operon predictions

For most organisms, computational operon predictions are the only source of genome-wide operon information. Operon prediction methods described in literature are based on (a combination of) the following five criteria: (i) intergenic distance, (ii) conserved gene clusters, (iii) functional relation, (iv) sequence elements and (v) experimental evidence. The performance estimates of operon predictions reported in literature cannot directly be compared due to differences in methods and data used in these studies. Here, we survey the current status of operon prediction methods. Based on a comparison of the performance of operon predictions on Escherichia coli and Bacillus subtilis we conclude that there is still room for improvement.We expect that existing and newly generated genomics and transcriptomics data will further improve accuracy of operon prediction methods.

Purification of a novel fructosyltransferase from Lactobacillus reuteri strain 121 and characterization of the levan produced

Fructosyltransferase (FTF) enzymes have been characterized from various Gram-positive bacteria, but not from Lactobacillus sp. In a screening of 182 lactobacilli for polysaccharide production only one strain, Lactobacillus reuteri strain 121, was found to produce a fructan being a levan. Here we report the first-time identification and biochemical characterization of a Lactobacillus FTF enzyme. When incubated with sucrose the enzyme produced a levan that is identical to that produced by Lb. reuteri strain 121 cells.

Comparative and functional genomics of lactococci

Whole-genome nucleotide sequencing has revolutionized the genetic, biochemical and molecular biology research on bacteria and indeed, many higher organisms. The genome sequences of the strains of two subspecies of Lactococcus lactis, L. lactis subsp. lactis and L. lactis subsp. cremoris, have been determined. These genomic sequences have permitted two important new approaches to be applied in the research of L. lactis. The analysis of the regulation of expression of all genes under specific circumstances at a given point in time is now possible by DNA microarray technology. The elucidation of the full protein complement of the organism as a function of intrinsic or external factors has been made possible by high-throughput protein identification and analysis techniques combined with the gene-derived know-how of the total protein encoding capacity of the genome. These techniques from the genomics arena, transcriptomics and proteomics, have been recently implemented in the study of various aspects of growth and functioning of L. lactis. In this paper we discuss a number of similarities and differences between the two lactococcal genome sequences and review the current status of genomics research in L. lactis. We also propose future directions with respect to both answering fundamental questions more quickly and more completely, as well as opening new avenues for biotechnological applications.

UniFrag and GenomePrimer: selection of primers for genome-wide production of unique amplicons

The complementary programs UniFrag and GenomePrimer were developed to provide a reliable high-throughput method to select the most unique regions within genomic DNA sequence(s) and design primers therein, involving minimal user intervention and maximum flexibility.

SIMAGE: simulation of DNA-microarray gene expression data. Software

Background: Simulation of DNA-microarray data serves at least three purposes: (i) optimizing the design of an intended DNA microarray experiment, (ii) comparing existing pre-processing and processing methods for best analysis of a given DNA microarray experiment, (iii) educating students, lab-workers and other researchers by making them aware of the many factors influencing DNA microarray experiments. Results: Our model has multiple layers of factors influencing the experiment. The relative influence of such factors can differ significantly between labs, experiments within labs, etc. Therefore, we have added a module to roughly estimate their parameters from a given data set. This guarantees that our simulated data mimics real data as closely as possible. Conclusion: We introduce a model for the simulation of dual-dye cDNA-microarray data closely resembling real data and coin the model and its software implementation "SIMAGE" which stands for simulation of microarray gene expression data.

Draft Genome Sequence of Lactobacillus plantarum SF2A35B

The lactic acid bacterium Lactobacillus plantarum is intensively studied as a model probiotic species. Here, we present the draft genome sequence of the exopolysaccharide-producing strain SF2A35B