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URL: https://github.com/amkozlov/raxml-ng
Proper Citation: RAxML Next Generation (RRID:SCR_022066)
Description: Software phylogenetic tree inference tool which uses maximum likelihood optimality criterion. Used for maximum likelihood phylogenetic inference. Offers improved accuracy, flexibility, speed, scalability, and usability compared with RAxML/ExaML.
Abbreviations: RAxML-NG
Synonyms: Randomized Axelerated Maximum Likelihood Next Generation
Resource Type: data analysis software, data processing software, software application, software resource
Defining Citation: DOI:10.1093/bioinformatics/btz305
Keywords: phylogenetic tree inference, maximum likelihood optimality criterion, maximum likelihood phylogenetic inference
Funding: Klaus Tschira Foundation
Availability: Free, Available for download, Freely available
Resource Name: RAxML Next Generation
Resource ID: SCR_022066
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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