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Multiple alignment generation and analysis.
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The clustering output was passed to the sequence clustering software CAP3 assembler [ 50] for multiple alignment and generation of consensus sequences.
Hal, an automated pipeline for phylogenetic analysis of genome-scale data [ 31] was used for multiple alignment and generation of orthologous protein clusters [ http://sourceforge.net/projects/bio-hal/]. Orthologous protein clusters [ 71] were identified by using Blastp and Markov Cluster Algorithm (MCL) tool [ 72] integrated in Hal pipeline.
Furthermore, we took position-specific independent counts (PSIC [ 31]) and adhered to a protocol necessary for sequence extraction and generation of multiple alignment as described elsewhere [ 17].
Each generated sequence was considered to be an ancestral sequence, and the process of column evolution in each column of the generated sequence was modeled by random generation of 32 amino acid residues to obtain the same depth of the generated multiple alignment as the average depth of multiple alignments in our clustering procedure done on BLOCKS.
The refined multiple alignment was used as input for generation of a phylogenetic tree using the phylogeny inference package (Version 3.2), PHYLIP [ 70].
The resulting concatenated multiple alignment was used as input for generation of a phylogenetic tree using the program package PHYLIP [ 56].
Multiple alignments were generated by the MULTALIN program (Corpet 1988).
Multiple alignments were generated at the web site.
It is possible to limit generation of CodonLogo images to a particular subsection of a multiple alignment.
The phylogenetic tree was produced using MUSCLE for multiple alignment, Gblocks for automatic alignment curation, PhyML for tree building and TreeDyn for tree drawing using the tree-generation pipeline at Phylogeny.fr website [ 54].
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