R
Rasmus Nielsen
Researcher at University of California, Berkeley
Publications - 594
Citations - 96106
Rasmus Nielsen is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Population & Selection (genetic algorithm). The author has an hindex of 135, co-authored 556 publications receiving 84898 citations. Previous affiliations of Rasmus Nielsen include National Research University – Higher School of Economics & Griffith University.
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Journal ArticleDOI
A metagenome-wide association study of gut microbiota in type 2 diabetes
Junjie Qin,Yingrui Li,Zhiming Cai,Shenghui Li,Jianfeng Zhu,Fan Zhang,Suisha Liang,Wenwei Zhang,Yuanlin Guan,Dongqian Shen,Yangqing Peng,Dongya Zhang,Zhuye Jie,Wenxian Wu,Youwen Qin,Wenbin Xue,Junhua Li,Lingchuan Han,Donghui Lu,Peixian Wu,Yali Dai,Xiaojuan Sun,Zesong Li,Aifa Tang,Shilong Zhong,Xiaoping Li,Weineng Chen,Ran Xu,Mingbang Wang,Qiang Feng,Meihua Gong,Jing Yu,Yanyan Zhang,Ming Zhang,Torben Hansen,Gaston Sanchez,Jeroen Raes,Gwen Falony,Shujiro Okuda,Mathieu Almeida,Emmanuelle Le-chatelier,Pierre Renault,Nicolas Pons,Jean-Michel Batto,Zhaoxi Zhang,Hua Chen,Ruifu Yang,Wei-Mou Zheng,Songgang Li,Huanming Yang,Jian Wang,S. Dusko Ehrlich,Rasmus Nielsen,Oluf Pedersen,Oluf Pedersen,Karsten Kristiansen,Jun Wang +56 more
TL;DR: MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance.
Journal ArticleDOI
A Draft Sequence of the Neandertal Genome
Richard E. Green,Johannes Krause,Adrian W. Briggs,Tomislav Maricic,Udo Stenzel,Martin Kircher,Nick Patterson,Heng Li,Weiwei Zhai,Markus Hsi-Yang Fritz,Nancy F. Hansen,Eric Durand,Anna-Sapfo Malaspinas,Jeffrey D. Jensen,Tomas Marques-Bonet,Tomas Marques-Bonet,Can Alkan,Kay Prüfer,Matthias Meyer,Hernán A. Burbano,Jeffrey M. Good,Jeffrey M. Good,Rigo Schultz,Ayinuer Aximu-Petri,Anne Butthof,Barbara Höber,Barbara Höffner,Madien Siegemund,Antje Weihmann,Chad Nusbaum,Eric S. Lander,Carsten Russ,Nathaniel Novod,Jason P. Affourtit,Michael Egholm,Christine Verna,Pavao Rudan,Dejana Brajković,Željko Kućan,Ivan Gušić,Vladimir B. Doronichev,Liubov V. Golovanova,Carles Lalueza-Fox,Marco de la Rasilla,Javier Fortea,Antonio Rosas,Ralf Schmitz,Philip L. F. Johnson,Evan E. Eichler,Daniel Falush,Ewan Birney,James C. Mullikin,Montgomery Slatkin,Rasmus Nielsen,Janet Kelso,Michael Lachmann,David Reich,David Reich,Svante Pääbo +58 more
TL;DR: The genomic data suggest that Neandertals mixed with modern human ancestors some 120,000 years ago, leaving traces of Ne andertal DNA in contemporary humans, suggesting that gene flow from Neand Bertals into the ancestors of non-Africans occurred before the divergence of Eurasian groups from each other.
Journal ArticleDOI
Bayesian inference of phylogeny and its impact on evolutionary biology
TL;DR: Bayesian inference of phylogeny brings a new perspective to a number of outstanding issues in evolutionary biology, including the analysis of large phylogenetic trees and complex evolutionary models and the detection of the footprint of natural selection in DNA sequences.
Journal Article
Codon-substitution models for heterogeneous selection pressure at amino acid sites.
Shira N Goldman,Rasmus Nielsen,Qiaofeng Yang,Gloria A. Pedersen,David R. Nielsen,Ziheng Yang,Nick Goldman,sebnem ozemri sag,Daniel Wai Hung Ho +8 more
TL;DR: In this paper, the authors developed models that account for heterogeneous omega ratios among amino acid sites and applied them to phylogenetic analyses of protein-coding DNA sequences, which are useful for testing for adaptive molecular evolution and identifying amino acid points under diversifying selection.
Journal ArticleDOI
Codon-Substitution Models for Heterogeneous Selection Pressure at Amino Acid Sites
TL;DR: Development of models that account for heterogeneous omega ratios among amino acid sites and apply them to phylogenetic analyses of protein-coding DNA sequences are developed, useful for testing for adaptive molecular evolution and identifying amino Acid sites under diversifying selection.