Data, time and money: evaluating the best compromise for inferring molecular phylogenies of non-model animal taxa
Abstract
For over a decade now, High Throughput sequencing (HTS) approaches have revolutionized phylogenetics, both in terms of data production and methodology. While transcriptomes and (reduced) genomes are increasingly used, generating and analyzing HTS datasets remain expensive, time consuming and complex for most non-model taxa. Indeed, a literature survey revealed that 74% of the molecular phylogenetics trees published in 2018 are based on data...
Paper Details
Title
Data, time and money: evaluating the best compromise for inferring molecular phylogenies of non-model animal taxa
Published Date
Jan 1, 2020
Volume
142
Pages
106660 - 106660
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