Nature Reviews Genetics Contents June 2015 Volume 16 Number 6 pp 313-371

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TABLE OF CONTENTS
June 2015 Volume 16 Number 6		Advertisement
Impact Factor 39.794 *	In this issue Comment Research Highlights Reviews Also this month Article series: Applications of next-generation sequencing  Featured article: Evidence for archaic adaptive introgression in humans Fernando Racimo, Sriram Sankararaman, Rasmus Nielsen & Emilia Huerta-Sánchez	New! Transcription factor ChIP-seq with complete ease iDeal ChIP-seq Kit for Transcription Factors Start-to-finish ChIP including control antibodies such as CTCF and primers. Tackles the toughest transcription factor ChIPs and validated with multiple TFs including HDAC1, LSD1, p53, P300, HDAC2, EZH2, and many more. Learn more.
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Comment: The diverse origins of the human gene pool Svante Pääbo p313 | doi:10.1038/nrg3954 Abstract | Full Text | PDF
RESEARCH HIGHLIGHTS Top Non-coding RNA: X chromosome inactivation unravelled p315 | doi:10.1038/nrg3955 PDF Chromosome biology: Diverse evolution of sex chromosomes in flies p316 | doi:10.1038/nrg3952 PDF Genetic testing: cfDNA screening for trisomy 21 tested in unselected pregnancies p316 | doi:10.1038/nrg3953 PDF Disease genetics: Network effects of disease mutations p317 | doi:10.1038/nrg3957 PDF Ageing: Heterochromatin disorganization associated with premature ageing p318 | doi:10.1038/nrg3958 PDF In the news p318 | doi:10.1038/nrg3959 PDF RNA: Putting transcriptomics in its place p319 | doi:10.1038/nrg3951 PDF Genetics JOBS of the week Research Assistant in Disease Gene Regulation (two posts) University of Oxford Postdoc to Study Gene Regulatory Mechanisms of Maternal and Fetal Health Duke University PhD position in Molecular Biology - Epigenetic gene regulation acute myeloid leukaemia Institute of Molecular Biology (IMB) Mainz Research Fellow Mayo Medical School - Mayo Clinic Postdoctoral Research Associate University of Colorado Boulder More Science jobs from Genetics EVENT Yeast Genetics & Genomics 21.07.15 Cold Spring Harbour, USA More science events from
REVIEWS		Top
Machine learning applications in genetics and genomics Maxwell W. Libbrecht & William Stafford Noble p321 | doi:10.1038/nrg3920 Machine learning methods are becoming increasingly important in the analysis of large-scale genomic, epigenomic, proteomic and metabolic data sets. In this Review, the authors consider the applications of supervised, semi-supervised and unsupervised machine learning methods to genetic and genomic studies. They provide general guidelines for the selection and application of algorithms that are best suited to particular study designs. Abstract | Full Text | PDF
Estimating the mutation load in human genomes Brenna M. Henn, Laura R. Botigué, Carlos D. Bustamante, Andrew G. Clark & Simon Gravel p333 | doi:10.1038/nrg3931 A large proportion of genetic variants in the human genome have been predicted to be deleterious. This Review examines the frequency and patterns of deleterious alleles in the human genome and considers recent studies with conflicting findings on whether the mutation load, or burden of deleterious alleles, differs across populations. Abstract | Full Text | PDF | Supplementary information
Article series: Applications of next-generation sequencing Haplotype-resolved genome sequencing: experimental methods and applications Matthew W. Snyder, Andrew Adey, Jacob O. Kitzman & Jay Shendure p344 | doi:10.1038/nrg3903 High-throughput DNA sequencing technologies are providing an ever-expanding wealth of genome sequence data, including detailed information on human genetic variation. However, such data typically lack haplotype information (that is, the cis-connectivity of variants along individual chromosomes). This Review describes diverse recent experimental methods by which genetic variants can be resolved into haplotypes, accompanying computational methods and important applications of these methods in genomics and biomedical science. Abstract | Full Text | PDF
Evidence for archaic adaptive introgression in humans Fernando Racimo, Sriram Sankararaman, Rasmus Nielsen & Emilia Huerta-Sánchez p359 | doi:10.1038/nrg3936 The analysis of whole-genome sequence data from both modern and ancient humans has provided evidence for archaic adaptive introgression. Here, the authors provide an overview of the statistical methods used and the supporting evidence for reported examples of archaic introgression, which may have driven the acquisition of beneficial variants that enabled adaptation and survival in new environments. Abstract | Full Text | PDF | Supplementary information
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