Editor rating: 7 / 10Peter Dunfield –– Will specificaly interest those working on methanogenesis, but more broadly the technical novelty may appeal to many microbial ecologists interested in mining metagenomic datases.
Editor rating: 7 / 10Yong Wang –– This paper performed exom sequencing to study high myopia and identified several potential disease genes. The data and analysis provides a valuable resources for the field.
Editor rating: 7 / 10Massimiliano Zanin –– An interesting demonstration on how data can be represented using new web-based technologies.
Section Editor rating: 7 / 10Elena Papaleo –– An interesting solution to identify a subset of reference genes for qualitative qPCR of cancer samples
Editor rating: 7 / 10Jun Chen –– The article provides a timely and informative comparison of the state-of-the-art error-correction pipelines. The presented results can guide the selection of appropriate pipelines that suit the research needs.
Section Editor rating: 7 / 10Keith Crandall –– De novo transcriptome assembly is a complex and difficult problem without a solid solution that works well across species. This helps move the needle in the right direction.
Editor rating: 7 / 10Elena Papaleo –– An interesting read for the cancer biology and computational biology community on the usage of RNASeq to study somatic mutations.
Section Editor rating: 7 / 10Keith Crandall –– This is a novel bioinformatic pipeline to find toxin genes from transcriptome data that looks to be broadly applicable across organisms.
Section Editor rating: 7 / 10Keith Crandall –– Krocus looks like a great piece of software now extended for long-read sequencing technology to identify MLST schemes.
Editor rating: 9 / 10Min Zhao –– This is a good example to integrate data for lncRNAs in a specific cancer type.
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