L
Lars Arvestad
Researcher at Science for Life Laboratory
Publications - 53
Citations - 3437
Lars Arvestad is an academic researcher from Science for Life Laboratory. The author has contributed to research in topics: Tree (data structure) & Phylogenetic tree. The author has an hindex of 22, co-authored 53 publications receiving 3037 citations. Previous affiliations of Lars Arvestad include SERC Reliability Corporation & Karolinska Institutet.
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Journal ArticleDOI
The Norway spruce genome sequence and conifer genome evolution.
Björn Nystedt,Nathaniel R. Street,Anna Wetterbom,Andrea Zuccolo,Yao-Cheng Lin,Douglas G. Scofield,Francesco Vezzi,Nicolas Delhomme,Stefania Giacomello,Andrey Alexeyenko,Riccardo Vicedomini,Kristoffer Sahlin,Ellen Sherwood,Malin Elfstrand,Lydia Gramzow,Kristina Holmberg,Jimmie Hällman,Olivier Keech,Lisa Klasson,Maxim Koriabine,Melis Kucukoglu,Max Käller,Johannes Luthman,Fredrik Lysholm,Totte Niittylä,Åke Olson,Nemanja Rilakovic,Carol Ritland,Josep A. Rosselló,Juliana Stival Sena,Thomas Svensson,Carlos Talavera-López,Günter Theißen,Hannele Tuominen,Kevin Vanneste,Zhiqiang Wu,Bo Zhang,Philipp Zerbe,Lars Arvestad,Lars Arvestad,Rishikesh P. Bhalerao,Joerg Bohlmann,Jean Bousquet,Rosario Garcia Gil,Torgeir R. Hvidsten,Torgeir R. Hvidsten,Pieter J. de Jong,John MacKay,Michele Morgante,Kermit Ritland,Björn Sundberg,Stacey Lee Thompson,Yves Van de Peer,Björn Andersson,Ove Nilsson,Pär K. Ingvarsson,Joakim Lundeberg,Stefan Jansson +57 more
TL;DR: The draft assembly of the 20-gigabase genome of Norway spruce (Picea abies), the first available for any gymnosperm, is presented, revealing numerous long (>10,000 base pairs) introns, gene-like fragments, uncharacterized long non-coding RNAs and short RNAs, which opens up new genomic avenues for conifer forestry and breeding.
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Bayesian gene/species tree reconciliation and orthology analysis using MCMC
TL;DR: This is the first successful introduction of this type of probabilistic methods, which flourish in phylogeny analysis, into reconciliation and orthology analysis, and develops a Bayesian analysis based on MCMC which facilitates approximation of an a posteriori distribution for reconciliations.
Journal ArticleDOI
Evolution After Gene Duplication: Models, Mechanisms, Sequences, Systems, and Organisms
Christian Roth,Christian Roth,Shruti Rastogi,Shruti Rastogi,Lars Arvestad,Katharina Dittmar,Sara Light,Diana Ekman,David A. Liberles,David A. Liberles +9 more
TL;DR: Here, gene duplication is examined across levels of biological organization in an attempt to create a unified picture of the mechanistic process by which gene duplication can have played a role in generating biodiversity.
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Simultaneous Bayesian gene tree reconstruction and reconciliation analysis.
TL;DR: A probabilistic model integrating gene duplication, sequence evolution, and a relaxed molecular clock for substitution rates that enables genomewide analysis of gene families and is able to draw biologically relevant conclusions concerning gene duplications creating key yeast phenotypes is presented.
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BESST - Efficient scaffolding of large fragmented assemblies
TL;DR: A comprehensive comparison of BESST against the most popular stand-alone scaffolders on a large variety of datasets concludes that information sources other than the quantity of links, as is commonly used, can provide useful information about genome structure when scaffolding.