MAGA: A Supervised Method to Detect Motifs From Annotated Groups in Alignments.
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ABSTRACT:
SUBMITTER: Mier P
PROVIDER: S-EPMC7218316 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
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MAGA: A Supervised Method to Detect Motifs From Annotated Groups in Alignments.
Mier Pablo P Andrade-Navarro Miguel A MA
Evolutionary bioinformatics online 20200429
Multiple sequence alignments are usually phylogenetically driven. They are studied in the framework of evolution. But sometimes, it is interesting to study residue conservation at positions unconstrained by evolutionary rules. We present a supervised method to access a layer of information difficult to appreciate visually when many protein sequences are aligned. This new tool (MAGA; http://cbdm-01.zdv.uni-mainz.de/~munoz/maga/) locates positions in multiple sequence alignments differentially con ...[more]
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