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

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf217
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Janin Riedelsberger, Fabio Durán-Verdugo, Alejandro Valdés-Jiménez, Mauricio F González-Reyes
Bioinformatics Advances
Natural Language Processing Techniques
article

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

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

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
University of Talca (CL), University of Bío-Bío (CL)
Openalex Percentile: Top 71%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

MSA Class Logos: a web server for automated sequence logo generation for user-defined sequence classes based on one multiple sequence alignment — Janin Riedelsberger, Fabio Durán-Verdugo, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS