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. 2020 Dec 2;18(12):e3001007. doi: 10.1371/journal.pbio.3001007

Table 1. The 14 different MSA trimming strategies tested in this study.

Software MSA trimming strategies Approach Parameter(s) Reference
ClipKIT ClipKIT: k Keep parsimony-informative sites kpi mode This study
ClipKIT: kg Keep parsimony-informative sites and remove highly gappy sites kpi-gappy mode; remove sites with 90% gaps
ClipKIT: kc Keep parsimony-informative and constant sites kpic mode
ClipKIT: kcg Keep parsimony-informative and constant sites and remove highly gappy sites kpic-gappy mode; remove sites with 90% gaps
ClipKIT: g Remove highly gappy sites gappy mode; remove sites with 90% gaps
BMGE BMGE 0.3 Remove sites with high entropy Entropy threshold of 0.3 [3]
BMGE Default entropy threshold of 0.5
BMGE 0.7 Entropy threshold of 0.7
Gblocks Gblocks Remove sites that are gap rich and highly variable default [1]
Noisy Noisy Predicts homoplastic sites and remove them default [15]
trimAl trimAl: s Remove highly gappy and variable sites strict mode [2]
trimAl: sp Remove highly gappy and variable sites strictplus mode
trimAl: go Remove highly gappy sites gappyout mode
No trimming No trim N/A N/A N/A

Each MSA trimming strategy tested by our study, the software used, a general description of its trimming approach, its parameters, and a citation for the software used are described here.

BMGE, Block Mapping and Gathering with Entropy; MSA, multiple sequence alignment; N/A, not applicable.