Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Correlations for Biological Processes and Molecular Functions were made against microarray data using maximum gene dataset of 100, minimum dataset of 5 and maximum iterations of 10,000.
Similar(59)
The maximum clade credibility (MCC) and maximum likelihood (ML) trees for each complete gene dataset were highly congruent.
Maximum likelihood and Bayesian analyses of the mitochondrial cox3 gene dataset yielded essentially the same phylogenetic trees (Fig. 1), which divided Ectocarpus into 4 well-supported clades.
Branch length estimation was critical for comparative analyses in this study, so the genetic dataset required unambiguous genetic alignments and the maximum gene coverage of the species analysed.
Furthermore, maximum-likelihood analyses were performed on the individual gene datasets; these analyses also gave nearly congruent topologies that agreed at well-supported in-group nodes.
Maximum likelihood (ML) analysis of the combined Cox1 and EF-1α dataset (as well as individual gene datasets) from lice produced a single, well-supported phylogeny in agreement with results from previous analyses.
Phylogenetic trees were reconstructed using maximum likelihood (ML) in PhyML 3.0 [ 48] in order to establish orthologous and paralogous relationships among the gene datasets.
We first analyzed the combined four-gene dataset using partitioned Bayesian and maximum likelihood analyses, in which a single species tree was inferred.
Each single-gene dataset was thoroughly tested by bootstrapped maximum likelihood (ML) analyses for deep paralogy or suspicious relationships possibly indicative of lateral gene transfer (LGT) or contamination.
The ten-gene dataset was partitioned as in the maximum likelihood RAxML phylogenetic analysis, unlinking the nucleotide substitution models among the 30 codon-based partitions and the UCLN clock model was partitioned among the 10 genes.
Finally, these parameters were optimized with maximum likelihood, constraining the topology to that estimated from the full six-gene dataset.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com