Journal ArticleDOI
Evolutionary informatics: unifying knowledge about the diversity of life
TLDR
The field of evolutionary informatics has matured into a robust discipline that is developing the conceptual, infrastructure and community frameworks for meeting this grand challenge of creating a linked system of all evolutionary data, information and knowledge organized around Darwin's ever-growing Tree of Life.Abstract:
The accelerating growth of data and knowledge in evolutionary biology is indisputable. Despite this rapid progress, information remains scattered, poorly documented and in formats that impede discovery and integration. A grand challenge is the creation of a linked system of all evolutionary data, information and knowledge organized around Darwin's ever-growing Tree of Life. Such a system, accommodating topological disagreement where necessary, would consolidate taxon names, phenotypic and geographical distributional data across clades, and serve as an integrated community resource. The field of evolutionary informatics, reviewed here for the first time, has matured into a robust discipline that is developing the conceptual, infrastructure and community frameworks for meeting this grand challenge.read more
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Journal Article
Fast Tree: Computing Large Minimum-Evolution Trees with Profiles instead of a Distance Matrix
TL;DR: FastTree as mentioned in this paper uses sequence profiles of internal nodes in the tree to implement neighbor-joining and uses heuristics to quickly identify candidate joins, then uses nearest-neighbor interchanges to reduce the length of the tree.
Journal ArticleDOI
Can We Name Earth's Species Before They Go Extinct?
TL;DR: It is argued that the number of species on Earth today is 5 ± 3 million, of which 1.5 million are named, and practical actions are proposed to improve taxonomic productivity and associated understanding and conservation of biodiversity.
Journal ArticleDOI
Finding needles in haystacks: Linking scientific names, reference specimens and molecular data for Fungi
Conrad L. Schoch,Barbara Robbertse,Vincent Robert,Duong Vu,Gianluigi Cardinali,Laszlo Irinyi,Wieland Meyer,R. Henrik Nilsson,Karen W. Hughes,Andrew N. Miller,Paul M. Kirk,Kessy Abarenkov,M. Catherine Aime,Hiran A. Ariyawansa,Martin I. Bidartondo,Teun Boekhout,Bart Buyck,Qing Cai,Jie Chen,Ana Crespo,Pedro W. Crous,Ulrike Damm,Z. Wilhelm de Beer,Bryn T. M. Dentinger,Pradeep K. Divakar,Margarita Dueñas,Nicolas Feau,Katerina Fliegerova,Miguel A. García,Zai-Wei Ge,Gareth W. Griffith,Johannes Z. Groenewald,Marizeth Groenewald,Martin Grube,Marieka Gryzenhout,Cécile Gueidan,Liang-Dong Guo,Sarah Hambleton,Richard C. Hamelin,Karen Hansen,Valérie Hofstetter,Seung-Beom Hong,Jos Houbraken,Kevin D. Hyde,Patrik Inderbitzin,Peter R. Johnston,Samantha C. Karunarathna,Urmas Kõljalg,Gábor M. Kovács,Gábor M. Kovács,Ekaphan Kraichak,Krisztina Krizsán,Cletus P. Kurtzman,Karl-Henrik Larsson,Steven D. Leavitt,Peter M. Letcher,Kare Liimatainen,Jian-Kui Liu,D. Jean Lodge,Janet Jennifer Luangsa-ard,H. Thorsten Lumbsch,Sajeewa S. N. Maharachchikumbura,Dimuthu S. Manamgoda,María P. Martín,Andrew M. Minnis,Jean-Marc Moncalvo,Giuseppina Mulè,Karen K. Nakasone,Tuula Niskanen,Ibai Olariaga,Tamás Papp,Tamás Petkovits,Raquel Pino-Bodas,Martha J. Powell,Huzefa A. Raja,Dirk Redecker,Jullie M. Sarmiento-Ramírez,Keith A. Seifert,Bhushan Shrestha,Soili Stenroos,B. Stielow,Sung-Oui Suh,Kazuaki Tanaka,Leho Tedersoo,M. Teresa Telleria,Dhanushka Udayanga,Wendy A. Untereiner,Javier Diéguez Uribeondo,Krishna V. Subbarao,Csaba Vágvölgyi,Cobus M. Visagie,Kerstin Voigt,Donald M. Walker,Bevan S. Weir,Michael Weiß,Nalin N. Wijayawardene,Michael J. Wingfield,Jianping Xu,Zhu L. Yang,Ning Zhang,Wen Ying Zhuang,Scott Federhen +101 more
TL;DR: A set of standards and protocols are proposed to improve the data quality of new sequences, and it is suggested how type and other reference sequences can be used to improve identification of Fungi.
Journal ArticleDOI
rfishbase: exploring, manipulating and visualizing FishBase data from R.
TL;DR: A direct, scriptable interface to FishBase data enables better discovery and integration essential for large-scale comparative analyses, and can be integrated into phylogenetics packages such as ape and geiger.
Journal ArticleDOI
A framework for using niche models to estimate impacts of climate change on species distributions
TL;DR: This work states that for the vast majority of species, correlative approaches are the most feasible avenue for building niche models and follows critical principles for selecting predictor variables and occurrence data, demonstrating effective performance in prediction across space, and extrapolating into nonanalog conditions.
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