Evidence map›Paper›PMID 40989495›Full record

ArticleBioinformatics advances2025

MSA Class Logos: a web server for automated sequence logo generation for user-defined sequence classes based on one multiple sequence alignment.

Mauricio F González-Reyes, Fabio Durán-Verdugo, Alejandro Valdés-Jiménez, Janin Riedelsberger

Abstract read
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mauricio F González-ReyesEscuela de Ingeniería Civil en Bioinformática, Facultad de Ingeniería, Campus Talca, Universidad de Talca, Talca 3460000, Chile.ORCID https://orcid.org/0009-0000-2116-845X
Fabio Durán-VerdugoEscuela de Ingeniería Civil en Bioinformática, Facultad de Ingeniería, Campus Talca, Universidad de Talca, Talca 3460000, Chile.ORCID https://orcid.org/0009-0002-8399-4970
Alejandro Valdés-JiménezDepartamento de Sistemas de Información, Universidad del Bío-Bío, Concepción 4051381, Chile.ORCID https://orcid.org/0000-0003-2345-5510
Janin RiedelsbergerCentro de Bioinformática, Simulación y Modelado (CBSM), Facultad de Ingeniería, Campus Talca, Universidad de Talca, Talca 3460000, Chile.ORCID https://orcid.org/0000-0002-4687-7495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Sequence logos are a common way to visually represent amino acid frequencies and conserved sequence patterns of multiple sequence alignments (MSAs). MSA Class Logos is a free web server that enables users to browse and explore sequence logos of several sequence groups or classes simultaneously online, and to download amino acid frequencies for the entire MSA or the sequence classes. Amino acid frequencies can be downloaded in tabular or graphical form for further offline analysis. The core feature of MSA Class Logos is the user's ability to group amino acid sequences into classes or subgroups, generate sequence logos for each class, and compare the clearly arranged logos online. Sequence logos for the entire MSA and user-defined classes are generated in separate tabs and can be explored conveniently in parallel. Class-specific sequence logos facilitate the identification of class-specific conserved residues unique in evolutionary distant or functionally differing protein groups. Results can be explored visually directly on the web page or downloaded as tables in CSV format. Additionally, segments of each sequence logo can be downloaded in SVG format. MSA Class Logos is primarily intended for investigators without programming and scripting skills to ease detailed sequence analysis. Availability and implementation: MSA Class Logos and further documentation is available at https://msaclasslogos.appsbio.utalca.cl.

Identifiers

PMID40989495
PMCPMC12452264

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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.