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Updated: May 24, 2025

Semi-automated Biopanning of Bacterial Display Libraries for Peptide Affinity Reagent Discovery and Analysis of Resulting Isolates
Published on: December 6, 2017
Protocol for sequence clustering with PaSiMap in Jalview
Thomas Morell1, James Procter2, Geoffrey J Barton2
1Department of Biology, University of Konstanz, 78457 Konstanz, Germany.
Abstract:
Pairwise similarity mapping (PaSiMap), implemented in Jalview, serves as an alternative to principal component analysis (PCA) for analyzing protein sequence relationships without requiring pre-computed multiple sequence alignments. It excels at distinguishing between systematic and random differences in datasets. Here, we present a protocol for sequence clustering with PaSiMap in Jalview. We describe steps for installation, sequence importing, and running PaSiMap analyses. We also detail procedures for plotting and data interpretation in RStudio, offering a streamlined approach for visualizing and analyzing protein sequence relationships effectively.
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