| Literature DB >> 35243369 |
Xi Zhang1,2, Yining Hu3, Laura Eme1, Shinichiro Maruyama1, Robert J M Eveleigh1, Bruce A Curtis1,2, Shannon J Sibbald1,2, Julia F Hopkins1, Gina V Filloramo1,2, Klaas J van Wijk4, John M Archibald1,2.
Abstract
Various bioinformatics protocols have been developed for trimming the number of operational taxonomic units (OTUs) in phylogenetic datasets, but they typically require significant manual intervention. Here we present TreeTuner, a semiautomated pipeline that allows both coarse and fine-scale tuning of large protein sequence phylogenetic datasets via the minimization of OTU redundancy. TreeTuner facilitates preliminary investigation of such datasets as well as more rigorous downstream analysis of specific subsets of OTUs. For complete details on the use and execution of this protocol, please refer to Maruyama et al. (2013) and Sibbald et al. (2019).Entities:
Keywords: Bioinformatics; Evolutionary biology; Genomics; Systems biology
Mesh:
Year: 2022 PMID: 35243369 PMCID: PMC8857567 DOI: 10.1016/j.xpro.2022.101175
Source DB: PubMed Journal: STAR Protoc ISSN: 2666-1667