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woensdag 14 maart 2018

Nature Reviews Genetics Contents April 2018 Volume 19 Number 4 pp 187-246

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April 2018 Volume 19 Number 4
Nature Reviews Genetics cover
2016 2-year Impact Factor 40.282 Journal Metrics 2-year Median 28.5
In this issue
Research Highlights

Also this month
Article series:
Computational tools
 Featured article:
Cloud computing for genomic data analysis and collaboration
Ben Langmead & Abhinav Nellore


Recommend to library
Genomic Epidemiology of Malaria (11-13 June 2018)

This meeting focusses on understanding the clinical and biological consequences of genome variation in malaria-exposed populations, transmission models and migration patterns, and the implications for policies to eradicate malaria.

Deadlines: Early bird: 20 Mar/ Bursaries: 3 Apr / Abstracts: 17 Apr / Registration: 15 May 
Key Advances in Medicine eBook from Nature Reviews ? FREE to download!

This essential resource summarizes the ground-breaking clinical and biomedical discoveries of 2017 and highlights the trends to watch out for in 2018, making it a must read eBook for anyone with an interest in medical science.

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Gene expression: Developmental enhancers in action
p187 | doi:10.1038/nrg.2018.13

RNA: Follow the SINE for nuclear localization
p188 | doi:10.1038/nrg.2018.10

Genetic variation: Putting causal variants on the map
p188 | doi:10.1038/nrg.2018.11

Comparative genomics: Blood, guts and vampire bats
p189 | doi:10.1038/nrg.2018.14


JOBS of the week
New Postdoctoral Positions
The University of Texas MD Anderson Cancer Center, Department of Genertics
Postdoctoral Research Scholar
UT Southwestern Medical Center
Postdoctoral Fellow / Pediatrics - 180000006J
The University of Tennessee Health Science Center (UTHSC)
Post-doctoral fellow
Washington University School of Medicine, St. Louis
Postdoctoral Fellow Positions in RNA Biology / Neurobiology Lab
University of California, Riverside
More Science jobs from
Machines on Genes
Snowmass Village, USA
More science events from
A change of view: homologous recombination at single-molecule resolution
Kyle Kaniecki, Luisina De Tullio & Eric C. Greene

p191 | doi:10.1038/nrg.2017.92
In this Review, Kaniecki et al. discuss how the use of single-molecule optical microscopy and super-resolution optical microscopy methods has benefited our understanding of homologous recombination by generating detailed insights into the molecules and processes involved.
Abstract | Full Text | PDF

Article series: Computational tools
Cloud computing for genomic data analysis and collaboration
Ben Langmead & Abhinav Nellore

p208 | doi:10.1038/nrg.2017.113
Next-generation sequencing technologies have fuelled a rapid rise in data, which require vast computational resources to store and analyse. This Review discusses the role of cloud computing in genomics research to facilitate data sharing and new analyses of archived sequencing data, as well as large-scale international collaborations.
Abstract | Full Text | PDF | Supplementary information

Runs of homozygosity: windows into population history and trait architecture
Francisco C. Ceballos, Peter K. Joshi, David W. Clark, Michèle Ramsay & James F. Wilson

p220 | doi:10.1038/nrg.2017.109
Runs of homozygosity (ROH) are genomic regions of homozygosity where the identical maternal and paternal haplotypes are descended from a shared common ancestor, and they are well known to occur as a result of inbreeding. This article discusses strategies for detecting ROH, their underappreciated prevalence across diverse outbred populations and implications for complex traits and human disease.
Abstract | Full Text | PDF

Cost-effectiveness analyses of genetic and genomic diagnostic tests
Katherine Payne, Sean P. Gavan, Stuart J. Wright & Alexander J. Thompson

p235 | doi:10.1038/nrg.2017.108
Next-generation sequencing is fuelling a rise in the number of genomic diagnostic tests, which compete with existing interventions for limited health-care budgets. This Perspective presents key approaches and challenges that must be considered by decision-makers assessing the relative cost-effectiveness of new genomic tests.
Abstract | Full Text | PDF | Supplementary information

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