ArticlePeerJ2022
CIAlign: A highly customisable command line tool to clean, interpret and visualise multiple sequence alignments.
Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
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- Physiology mediates transcontinental radiations of freshwater fishes.bioRxiv : the preprint server for biology · 2026Article
- Lifestyles ofProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Unraveling hidden species diversity of talpid moles using phylogenomics and skull-based deep learning.Communications biology · 2026Article
- Comparative Transcriptomics Reveals an Extracellular Worm Argonaute as an Ancestral Regulator of LTR Retrotransposons.Genome biology and evolution · 2026Article
- Rapid and reproducible haplotyping of complete mitochondrial genomes using split k-mers.BMC genomics · 2026Article
- Aujeszky's Disease in a Grey Wolf (Viruses · 2026Article
- A Field-Deployable eDNA Metabarcoding Workflow Including De Novo Reference Assembly for Characterising Understudied Biodiversity Hotspots.Molecular ecology resources · 2026Article
- Practical Guide and Review of Fossil Tip-Dating in Phylogenetics.Systematic biology · 2026Review
- Aquifer-Mediated Speciation in Cave-Adapted Fishes.Integrative organismal biology (Oxford, England) · 2026Article
- High-quality assembly of the Chinese white truffle genome and recalibrated divergence time estimate provide insight into the evolutionary dynamics of Tuberaceae.Genome research · 2025Article
- Covering All Bases: A Universal Metazoan UCE Probe Set to Democratize Phylogenomics.Genome biology and evolution · 2025Article
- TEtrimmer: a tool to automate the manual curation of transposable elements.Nature communications · 2025Article
- An updated phylogeny of Boraginales based on the Angiosperms353 probe set: a roadmap for understanding morphological evolution.Annals of botany · 2025Article
- Metagenomic selections reveal diverse antiphage defenses in human and environmental microbiomes.Cell host & microbe · 2025Article
- Exploring Large Protein Sequence Space through Homology- and Representation-based Hierarchical Clustering.Molecular biology and evolution · 2025Article
- The many origins of extremophile fishes.Proceedings. Biological sciences · 2025Article
- Possible Involvement of Ghost Introgressions in the Striking Diversity of Vomeronasal Type 1 Receptor Genes in East African Cichlids.Ecology and evolution · 2025Article
- VirDetector: a bioinformatic pipeline for virus surveillance using nanopore sequencing.Bioinformatics (Oxford, England) · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Background: Throughout 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 can lead to poor alignment and large gaps. This slows down computation and can impact conclusions without being biologically relevant. Cleaning the alignment by removing common issues such as gaps, divergent sequences, large insertions and deletions and poorly aligned sequence ends can substantially improve analyses. Manual editing of MSAs is very widespread but is time-consuming and difficult to reproduce. Results: We 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. Conclusion: CIAlign effectively removes problematic regions and sequences from MSAs and provides novel visualisation options. This tool can be used to fine-tune 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.