Editor rating: 7 / 10Rüdiger Ettrich –– I think the article might nicely advertise how computational predictions can complement experimental data in a useful way. This makes the article interesting not only for the NMR community but to protein chemists in general.
Editor rating: 7 / 10Alexander Mikheyev –– It is a bit inconclusive, but deals with important questions in biology.
Editor rating: 7 / 10Tomas Perez-Acle –– This interesting work proposes a combination of experimental procedures and mathematical modeling to provide new ways to manage infectious diseases.
Editor rating: 7 / 10Christopher Lortie –– broad implications on philosophy of science and interpretation.
Editor rating: 8 / 10Henkjan Huisman –– Medical images are useless for research unless annotations can be added. This paper describes an elegant open source frame work to do this.
Editor rating: 8 / 10Alexander Mikheyev –– This could be a very generally useful tool.
Editor rating: 8 / 10Giovanni Benelli –– Predicting Zika virus outbreaks is a crucial challenge in parasitology and public health sciences. This research is timely and of great interest for a wide readership.
Editor rating: 7 / 10Christine Josenhans –– platform comparison for NGS high throughput sequencing; implementation of novel platform based on PacBio SMRT sequencing for 16S amplicon sequencing. These technologies are of prime importance in the ever-growing field of microbiome/microbiota research
Editor rating: 7 / 10Eric Schirmer –– For many cell fate decisions differences in gene expression or proteomic data from multiple studies raises a question of what are the most appropriate molecular markers. The approach in this article of large-scale data mining is a reasonable one that can be applied more widely and provides a good set of markers for mesenchymal cells.
Editor rating: 8 / 10Yong Wang –– High throughput technologies and machine learning method are used to reveal the signature for complex disease, which has great potential for clinical usage.
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