Processing large data matrices is only one step required for phylogenomic analyses. In order to perform downstream analyses (e.g. orthology detection (Yang and Smith, 2014 (link)), mapping gene trees to species tree (Smith et al., 2015 (link)), or gene tree/species tree reconciliation (Mirarab et al., 2014 (link))) it is now also essential to be able to manipulate individual gene trees constructed from these data.
Efficient Phylogenomic Data Manipulation
Processing large data matrices is only one step required for phylogenomic analyses. In order to perform downstream analyses (e.g. orthology detection (Yang and Smith, 2014 (link)), mapping gene trees to species tree (Smith et al., 2015 (link)), or gene tree/species tree reconciliation (Mirarab et al., 2014 (link))) it is now also essential to be able to manipulate individual gene trees constructed from these data.
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Corresponding Organization : University of Michigan–Ann Arbor
Protocol cited in 50 other protocols
Variable analysis
- File manipulation and conversion
- Sequence alignment formats (fasta, fastq, phylip, Nexus)
- Tree formats (newick, Nexus)
- Removing individual taxa
- Resampling (bootstrap, jackknifing)
- Sequence recoding
- Translation to protein
- Reverse complementation
- Filtering by quality scores or the amount of missing data
- Concatenation across mixed alignment formats
- Pruning individual taxa
- Extracting subclades
- Rerooting/unrooting trees
- Concatenation and resampling (burnin and/or thinning) of MCMC tree or parameter logs
- Phylogenetic analysis
- Orthology detection
- Mapping gene trees to species tree
- Gene tree/species tree reconciliation
- Bayesian MCMC analyses involving phylogenies
- Ensuring valid results by keeping certain variables constant
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