CIAlign - A highly customisable command line tool to clean, interpret and visualise multiple sequence alignments.
Charlotte TumescheitiD, Andrew E. FirthiD, Katherine A. BrowniD
Abstract
BackgroundThroughout biology, multiple sequence alignments (MSAs) form the basis of much investigation into biological features and relationships. These alignments are at the heart of many bioinformatics analyses. However, sequences in MSAs are often incomplete or very divergent, which leads to poorly aligned regions or large gaps in alignments. This slows down computation and can impact conclusions without being biologically relevant. Therefore, cleaning the alignment by removing these regions can substantially improve analyses. Manual editing of MSAs is very widespread but is time-consuming and difficult to reproduce. ResultsWe present a comprehensive, user-friendly MSA trimming tool with multiple visualisation options. Our highly customisable command line tool aims to give intervention power to the user by offering various options, and outputs graphical representations of the alignment before and after processing to give the user a clear overview of what has been removed. The main functionalities of the tool include removing regions of low coverage due to insertions, removing gaps, cropping poorly aligned sequence ends and removing sequences that are too divergent or too short. The thresholds for each function can be specified by the user and parameters can be adjusted to each individual MSA. CIAlign is designed with an emphasis on solving specific and common alignment problems and on providing transparency to the user. ConclusionCIAlign effectively removes problematic regions and sequences from MSAs and provides novel visualisation options. This tool can be used to refine alignments for further analysis and processing. The tool is aimed at anyone who wishes to automatically clean up parts of an MSA and those requiring a new, accessible way of visualising large MSAs.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 121
- FWCI
- 7.50
- Field percentile
- top 1%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- CRAIC: interactive interrogation of multiple sequence alignment uncertainty
James O. McInerney·bioRxiv·Oct 8, 2026
- ExtendAlign: the post-analysis tool to correct and improve the alignment of dissimilar short sequences
Mariana Flores-Torres, Laura Gómez-Romero, … Carlos Fabián Flores-Jasso·bioRxiv·Aug 16, 2019
- SequenceBouncer: A method to remove outlier entries from a multiple sequence alignment
C. D. Dunn·bioRxiv·Nov 24, 2020
- Alvis: a tool for contig and read ALignment VISualisation and chimera detection
SAMUEL J. MARTIN, Richard M. Leggett·BMC BioinformaticsPeer-reviewed·Mar 16, 2021
- Ish: SIMD and GPU Accelerated Local and Semi-Global Alignment as a CLI Filtering Tool
Seth Stadick·Bioinformatics AdvancesPeer-reviewed·Dec 26, 2024
- A minimum reporting standard for multiple sequence alignments
Thomas K. F. Wong, Subha Kalyaanamoorthy, … Lars Sommer Jermiin·NAR Genomics and BioinformaticsPeer-reviewed·Apr 14, 2020