Bacteriophages reduce Yersinia enterocolitica contamination of food and kitchenware.

TL;DR: In this article , the authors present recent findings regarding phage application in fighting major foodborne pathogens, including Salmonella spp., Escherichia coli, Yersinia spp, Campylobacter jejuni and Listeria monocytogenes.

TL;DR: In this paper, the authors isolated two phages from game animals and characterized them in terms of their morphology, host specificity, and lytic activity on two bio-/serotypes and genome composition.

TL;DR: In this article, the genomes of six Y. enterocolitica prophages were described for the first time based on whole-genome sequencing (WGS) and the results revealed that these novel Yersinia phages are genetically distinct from the previously reported phages, showing considerable genetic diversity.

TL;DR: A new membrane protein topology prediction method, TMHMM, based on a hidden Markov model is described and validated, and it is discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C-in topologies.

TL;DR: SignalP 4.0 was the best signal-peptide predictor for all three organism types but was not in all cases as good as SignalP 3.0 according to cleavage-site sensitivity or signal- peptide correlation when there are no transmembrane proteins present.

TL;DR: Despite the high accuracy of GBDP-based DDH prediction, inferences from limited empirical data are always associated with a certain degree of uncertainty, so it is crucial to enrich in-silico DDH replacements with confidence-interval estimation, enabling the user to statistically evaluate the outcomes.

TL;DR: Significant technical improvements to GLIMMER are reported that improve its accuracy still further, and a comprehensive evaluation demonstrates that the accuracy of the system is likely to be higher than previously recognized.