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Institution

University of Canterbury

EducationChristchurch, New Zealand
About: University of Canterbury is a education organization based out in Christchurch, New Zealand. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 11100 authors who have published 29846 publications receiving 893232 citations. The organization is also known as: Te Whare Wānanga o Waitaha & Canterbury College.


Papers
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Proceedings Article
S. Chatrchyan1, Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1  +2184 moreInstitutions (200)
31 Jul 2014

288 citations

Journal ArticleDOI
TL;DR: In this paper, a serie de coordinats bidentes et tridentes, heterocycliques azotes are discussed, together with a discussion of the relation between them.

288 citations

Journal ArticleDOI
TL;DR: This work estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods and used the cohort-component method of population projection, with inputs of fertility, mortality, population, and migration data.

287 citations

Journal ArticleDOI
TL;DR: A thorough independent benchmark comparing state-of-the-art metagenome analysis tools is presented, showing that the most widely used tools are not necessarily the most accurate, that themost accurate tool is not always the most time consuming, and that there is a high degree of variability between available tools.
Abstract: Metagenome studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial and aquatic ecosystems to human skin and gut. With the advent of high-throughput sequencing platforms, the use of large scale shotgun sequencing approaches is now commonplace. However, a thorough independent benchmark comparing state-of-the-art metagenome analysis tools is lacking. Here, we present a benchmark where the most widely used tools are tested on complex, realistic data sets. Our results clearly show that the most widely used tools are not necessarily the most accurate, that the most accurate tool is not necessarily the most time consuming, and that there is a high degree of variability between available tools. These findings are important as the conclusions of any metagenomics study are affected by errors in the predicted community composition and functional capacity. Data sets and results are freely available from http://www.ucbioinformatics.org/metabenchmark.html.

287 citations


Authors

Showing all 11248 results

NameH-indexPapersCitations
Carlo Rovelli1461502103550
Kenneth A. Dodge13846879640
John D. Potter13779575310
David A. Jackson136109568352
Wajid Ali Khan128127279308
David Krofcheck128104377143
Hafeez R Hoorani128120880646
Muhammad Ahmad128118779758
David M. Fergusson12747455992
Philip H Butler12597071999
Paul Lujan123125576799
W. Dominik12266964410
A. J. Bell11949855643
Cynthia M. Bulik10771441562
David A. Boas10663138003
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202387
2022211
20211,460
20201,474
20191,428
20181,383