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Volume 48 Issue 8, August 2016

Cover art: Rhinopithecus bieti by Yong-cheng Long

Editorial

  • A recent recommendation that a large number of professional data stewards be trained and employed in all data-rich research projects raises the exciting prospect they will conduct research on data-intensive research itself. It also focuses us on questions about the role of all scientists in data quality and accessibility as well as how best to measure the value of good data stewardship to science and society.

    Editorial

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News & Views

  • A new study tracks the distribution of bivalent H3K4me3/H3K27me3 chromatin in male germ cells of six vertebrate species. The results have big implications for understanding the mechanisms that specify animal development.

    • Lauren A Choate
    • Charles G Danko
    News & Views
  • Analysis of a large whole-genome sequencing data set of 36,441 high-quality de novo mutations (DNMs) that arose in 816 family trios provides an unprecedented view into the landscape of DNMs in the germ line. This work both refines and challenges some of the views previously held on the nature and origin of DNMs.

    • Anne Goriely
    News & Views
  • Two new studies confirm that Plasmodium vivax populations are more diverse than Plasmodium falciparum and identify signs of recent selection at many loci, including those for drug resistance. P. vivax shows a trend of regional adaptations that poses challenges to global efforts to control and eliminate this major cause of relapsing malaria.

    • Jessica C Kissinger
    News & Views
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Analysis

  • Li Ding, Feng Chen and colleagues report a pan-cancer analysis using a new computational tool, HotSpot3D, to identify mutational hotspots in the encoded three-dimensional protein structure, which suggest their functional involvement in cancer. They use a mutation–drug cluster analysis to predict more than 800 potentially druggable mutations.

    • Beifang Niu
    • Adam D Scott
    • Li Ding
    Analysis
  • Andrea Califano, Mariano Alvarez and colleagues present an approach, VIPER, for inferring protein activity in single cancer samples based on expression of a protein's downstream targets. The authors use VIPER to predict aberrant protein activity independent of mutational status and validate drug sensitivity predictions using in vitro assays.

    • Mariano J Alvarez
    • Yao Shen
    • Andrea Califano
    Analysis
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Article

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Letter

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Technical Report

  • Richard Mott, Simon Myers and colleagues present a new imputation method, STITCH, which does not require genotyping arrays or high-quality reference panels. They use STITCH to accurately impute genotypes in both outbred laboratory mice and a sample human population directly from low-coverage (<2×) sequencing data.

    • Robert W Davies
    • Jonathan Flint
    • Richard Mott
    Technical Report
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Erratum

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Corrigendum

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