Poincaré maps for visualization of large protein families.
Brief Bioinform
; 24(3)2023 05 19.
Article
em En
| MEDLINE
| ID: mdl-36946414
ABSTRACT
In the era of constantly increasing amounts of the available protein data, a relevant and interpretable visualization becomes crucial, especially for tasks requiring human expertise. Poincaré disk projection has previously demonstrated its important efficiency for visualization of biological data such as single-cell RNAseq data. Here, we develop a new method PoincaréMSA for visual representation of complex relationships between protein sequences based on Poincaré maps embedding. We demonstrate its efficiency and potential for visualization of protein family topology as well as evolutionary and functional annotation of uncharacterized sequences. PoincaréMSA is implemented in open source Python code with available interactive Google Colab notebooks as described at https//www.dsimb.inserm.fr/POINCARE_MSA.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Proteínas
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article