Institution
University of Melbourne
Education•Melbourne, Victoria, Australia•
About: University of Melbourne is a education organization based out in Melbourne, Victoria, Australia. It is known for research contribution in the topics: Population & Mental health. The organization has 57194 authors who have published 174878 publications receiving 6338400 citations. The organization is also known as: Melbourne University & The University of Melbourne.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: The philosophy and design of the limma package is reviewed, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
Abstract: limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
22,147 citations
••
TL;DR: This biennial Review summarizes much of particle physics, using data from previous editions.
12,798 citations
••
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
Abstract: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
12,661 citations
••
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex, using the Cause of Death Ensemble model.
11,809 citations
••
TL;DR: In this paper, a new global map of climate using the Koppen-Geiger system based on a large global data set of long-term monthly precipitation and temperature station time series is presented.
Abstract: Although now over 100 years old, the classification of climate originally formulated by Wladimir Koppen and modified by his collaborators and successors, is still in widespread use. It is widely used in teaching school and undergraduate courses on climate. It is also still in regular use by researchers across a range of disciplines as a basis for climatic regionalisation of variables and for assessing the output of global climate models. Here we have produced a new global map of climate using the Koppen-Geiger system based on a large global data set of long-term monthly precipitation and temperature station time series. Climatic variables used in the Koppen-Geiger system were calculated at each station and interpolated between stations using a two-dimensional (latitude and longitude) thin-plate spline with tension onto a 0.1°×0.1° grid for each continent. We discuss some problems in dealing with sites that are not uniquely classified into one climate type by the Koppen-Geiger system and assess the outcomes on a continent by continent basis. Globally the most common climate type by land area is BWh (14.2%, Hot desert) followed by Aw (11.5%, Tropical savannah). The updated world Koppen-Geiger climate map is freely available electronically in the Supplementary Material Section.
10,518 citations
Authors
Showing all 57958 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mark J. Smyth | 153 | 713 | 88783 |
Andrew White | 149 | 1494 | 113874 |
Rinaldo Bellomo | 147 | 1714 | 120052 |
Jack Hirsh | 146 | 734 | 86332 |
Paul Mitchell | 146 | 1378 | 95659 |
Andres Metspalu | 144 | 583 | 101156 |
Steven Williams | 144 | 1375 | 86712 |
E. L. Barberio | 143 | 1605 | 115709 |
Peter M. Visscher | 143 | 694 | 118115 |
Olli T. Raitakari | 142 | 1232 | 103487 |
Geoffrey Burnstock | 141 | 1488 | 99525 |
Clifford J. Woolf | 141 | 509 | 86164 |
John L. Hopper | 140 | 1229 | 86392 |
Thomas J. Smith | 140 | 1775 | 113919 |
Jedd D. Wolchok | 140 | 713 | 123336 |