Thursday, January 21, 2016

Nature Reviews Genetics Contents February 2016 Volume 17 Number 2 pp 63-121

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Nature Reviews Genetics

 
TABLE OF CONTENTS
 
February 2016 Volume 17 Number 2
Nature Reviews Genetics cover
Impact Factor 36.978 *
In this issue
Comment
Research Highlights
Reviews


Also this month
Article series:
Study designs
Applications of next-generation sequencing
Modelling
 Featured article:
Role of non-coding sequence variants in cancer
Ekta Khurana, Yao Fu, Dimple Chakravarty, Francesca Demichelis, Mark A. Rubin & Mark Gerstein




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Comment: Bringing genetic background into focus
Clement Y. Chow
p63 | doi:10.1038/nrg.2015.9
Researchers should embrace differences in genetic background to build richer disease models that more accurately reflect the level of variation in the human population, posits Clement Chow.
Abstract | Full Text | PDF


RESEARCH HIGHLIGHTS

Top

DNA repair: The cell cycle flavours of repair
p65 | doi:10.1038/nrg.2015.35
PDF


Evolution: Redefining gene essentiality
p66 | doi:10.1038/nrg.2015.23
PDF


DNA replication: Quad-jumping
p67 | doi:10.1038/nrg.2015.24
PDF


Synthetic biology: Genetic kill switches — a matter of life or death
p67 | doi:10.1038/nrg.2015.29
PDF


Epigenetics: Making marks in oocyte development
p68 | doi:10.1038/nrg.2015.22
PDF


Complex traits: Repeat, repeat, repeat — gene expression variability explained
p68 | doi:10.1038/nrg.2015.27
PDF


Genomics: Fishing for the ageing secret
p69 | doi:10.1038/nrg.2015.26
PDF



IN BRIEF

Disease genetics: Interactome remodelling in cystic fibrosis rescue | Population genomics: Genomic analysis of South American ancestry | RNA: Differential regulation of APA isoforms
PDF

Genetics
JOBS of the week
Professor (W3) in Genetics
University of Cologne
Assistant Professor Faculty Positions in Cancer Genetics
Beth Israel Deaconess Medical Center - Harvard Medical School
Chair, Department of Molecular Genetics, University of Toronto
University of Toronto
Post-doctoral position – Epigenetics of Genome Maintenance
National Cancer Institute
Postdoctoral Research Scientist
Cancer Research UK Beatson Institute in Glasgow
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Population Variation Genetics: Experimental Strategies and Analysis
23.05.16
Norwic, UK
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REVIEWS

Top
Bayesian molecular clock dating of species divergences in the genomics era
Mario dos Reis, Philip C. J. Donoghue & Ziheng Yang
p71 | doi:10.1038/nrg.2015.8
The authors review the history, prospects and challenges of using molecular clock dating to estimate the timescale for the Tree of Life in the genomics era, and trace the rise of the Bayesian molecular clock dating method as a framework for integrating information from different sources, such as fossils and genomes.
Abstract | Full Text | PDF


Article series: Study designs
Harnessing the power of RADseq for ecological and evolutionary genomics
Kimberly R. Andrews, Jeffrey M. Good, Michael R. Miller, Gordon Luikart & Paul A. Hohenlohe
p81 | doi:10.1038/nrg.2015.28
Technical differences between the many variant methods that are based on restriction site-associated DNA sequencing (RADseq) lead to trade-offs in experimental design and analysis. Here, the authors comprehensively review the various RADseq approaches and provide general considerations for designing a RADseq study.
Abstract | Full Text | PDF | Supplementary information


Article series: Applications of next-generation sequencing
Role of non-coding sequence variants in cancer
Ekta Khurana, Yao Fu, Dimple Chakravarty, Francesca Demichelis, Mark A. Rubin & Mark Gerstein
p93 | doi:10.1038/nrg.2015.17
Genomic analyses of cancer genomes have largely focused on mutations in protein-coding regions, but the functional importance of alterations to non-coding regions is becoming increasingly appreciated through whole-genome sequencing. This Review discusses our current understanding of non-coding sequence variants in cancer — both somatic mutations and germline variants, and their interplay — including their identification, computational and experimental evidence for functional impact, and their diverse mechanisms of action for dysregulating coding genes and non-coding RNAs.
Abstract | Full Text | PDF


Article series: Modelling
Causes of evolutionary rate variation among protein sites
Julian Echave, Stephanie J. Spielman & Claus O. Wilke
p109 | doi:10.1038/nrg.2015.18
Why does the rate of evolution vary among sites within proteins? The authors review the current understanding of site-specific variation, discuss possible limitations of current methods and models, and propose directions for future research.
Abstract | Full Text | PDF


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