Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
Pairwise DST statistic estimates and their significance using 1,000 bootstrap replicates were obtained using the DEMETICS46 package in R software47.
Bootstrap replicates were obtained by randomly sampling with replacement within age/cohort group cells.
For ML, which is much more computer intensive, 100 bootstrap replicates were obtained.
Bootstrap replicates were obtained by sampling with replacement within age/cohort group cells.
All parameters were optimized and 1002 bootstrap replicates were obtained from the tree (commands: mpirun -n 6 phyml-mpi -i 175toPhyML.phylip -b 1002 -d aa -m LG -f m -s SPR --rand_start --n_rand_starts 5 -v e -a e -o tlr).
Maximum Parsimony trees and bootstrap replicates were obtained using SEQBOOT, PROTPARS and CONSENSE and Maximum Likelihood trees were inferred using PROML from the PHYLIP package using the default settings [ 79].
Similar(52)
Neighbor-joining bootstrap values (10,000 replicates) were obtained in MEGA4 [ 57].
Majority-rule consensus trees of 100 bootstrap replicates were also obtained from maximum likelihood (ML) phylogenies obtained using the JTT model plus a gamma rate distribution approximated using 5 categories.
One hundred bootstrap replicates were performed to obtain the confidence support.
22 One thousand (1,000) bootstrap replicates were used to obtain support for branches.
Five hundred bootstrap replicates were applied to obtain consistent and reliable sequence divergence values.
More suggestions(15)
bootstrap replicates were started
bootstrap replicates were made
bootstrap replicates were created
bootstrap replicates was obtained
bootstrap replicates were performed
bootstrap replicates were done
bootstrap replicates were calculated
bootstrap replicates were carried
bootstrap replicates were analyzed
bootstrap supports were obtained
bootstrap replicates were analysed
bootstrap results were obtained
bootstrap values were obtained
bootstrap proportions were obtained
bootstrap replicates were run
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