
Manuela Cascini- Doctor of Philosophy
- Queensland University of Technology
Manuela Cascini
- Doctor of Philosophy
- Queensland University of Technology
About
4
Publications
2,186
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
71
Citations
Introduction
Current institution
Additional affiliations
December 2011 - December 2012
Publications
Publications (4)
Our understanding of the biology of the extinct pig-footed bandicoots (Chaeropus) has been substantially revised over the past two decades by both molecular and morphological research. Resolving the systematic and temporal contexts of Chaeropus evolution has relied heavily on sequencing DNA from century-old specimens. We have used sliding window BL...
Erroneous taxonomic attributions in GenBank accessions can mislead phylogenetic inference and appear to be widespread within genera. We investigate the influence of taxonomic misattributions for reconstructing the phylogeny of three-striped dasyures, which include four recognized Myoictis species (Marsupialia: Dasyuridae) that are distributed acros...
Kangaroos and wallabies of the Macropus complex include the largest extant marsupials and hopping mammals. They have traditionally been divided among the genus Macropus (with three subgenera: Macropus, Osphranter and Notamacropus) and the monotypic swamp wallaby, Wallabia bicolor. Recent retrotransposon and genome-scale phylogenetic analyses clarif...
Combined "total evidence" analysis of molecular and morphological data offers the opportunity to objectively merge fossils into the tree of life, and challenges the primacy of solely DNA based phylogenetic and dating inference, even among modern taxa. To investigate the relative utility of DNA, morphology, and total evidence for evolutionary infere...
Questions
Question (1)
Hi! I'm attempting a dating analysis with 125 taxa and 1 million bp but the software gets stuck. Is this dataset just too big? Has anyone tried similar or larger dataset before?