Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting postanalyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available.
机构:
Univ Groningen, Groningen Bioinformat Ctr, Groningen, NetherlandsMed Univ Vienna, Univ Vienna, Max F Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, Austria
Minh Anh Thi Nguyen
;
von Haeseler, Arndt
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h-index: 0
机构:
Med Univ Vienna, Univ Vienna, Max F Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, AustriaMed Univ Vienna, Univ Vienna, Max F Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, Austria
机构:
Univ Groningen, Groningen Bioinformat Ctr, Groningen, NetherlandsMed Univ Vienna, Univ Vienna, Max F Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, Austria
Minh Anh Thi Nguyen
;
von Haeseler, Arndt
论文数: 0引用数: 0
h-index: 0
机构:
Med Univ Vienna, Univ Vienna, Max F Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, AustriaMed Univ Vienna, Univ Vienna, Max F Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, Austria