Insights on variant analysis in silico tools for pathogenicity prediction.
Front Genet
; 13: 1010327, 2022.
Article
in En
| MEDLINE
| ID: mdl-36568376
Molecular biology is currently a fast-advancing science. Sequencing techniques are getting cheaper, but the interpretation of genetic variants requires expertise and computational power, therefore is still a challenge. Next-generation sequencing releases thousands of variants and to classify them, researchers propose protocols with several parameters. Here we present a review of several in silico pathogenicity prediction tools involved in the variant prioritization/classification process used by some international protocols for variant analysis and studies evaluating their efficiency.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
Front Genet
Year:
2022
Document type:
Article
Affiliation country:
Brazil
Country of publication:
Switzerland