Editor rating: 7 / 10Michael Buchmeier –– novel approach to Herpes antivirals
Editor rating: 10 / 10Tomas Hrbek –– Potential applications span many disparate fields of science.
Editor rating: 8 / 10Marcio Pie –– It provides an important advance toward our understanding of a highly diverse group of flies.
Editor rating: 8 / 10Dorothy Bishop –– On the one hand, it raises questions about a high-profile paper that has been the subject of considerable debate. But I think the statistical points made have considerably more application than to this one case, and the general issues raised about methods are important for the field. This is a highly technical paper that will only be understood by a minority of readers, but the inclusion of scripts to illustrate the different methods of analysis in the context of simulated data will be very helpful to anyone wishing to learn about this area
Editor rating: 7 / 10Lucy Troup –– It attempts to define the measurement process of mood disorders more objectively
Editor rating: 7 / 10Tim Collins –– This article addresses some very basic questions about population genetics, molecular evolution, and genetic diversity
Editor rating: 7 / 10Anthony Jorm –– This is a very new technology for assessing behavior change in depression.
Editor rating: 7 / 10Vsevolod Makeev –– This is a useful technical development, nothing shocking but convenient
Editor rating: 9 / 10Hauke Smidt –– The method described here allows to probe the metagenomes of low-biomass ecosystems at significantly reduced bias.
Editor rating: 8 / 10Ugo Bastolla –– Due to the progress of sequencing technologies, the detection of single nucleotide variants offers unprecedented possibilities to investigate mutational processes and the mechanisms of cancer evolution. Nevertheless, to interpret this data is essential to control methodological errors. Smith, Carr and Eyre-Walker conclude that most sites with multiple single nucleotide variants in cancer genomes are a consequence of sequencing errors or errors in post-sequencing processing, a conclusion that is anticipated to stimulate further computational studies to disentangle genuine recurrent mutations from recurrent methodological errors and that may produce important methodological advances in the whole field of new generation sequencing.