MotSASi: Functional Short Linear Motifs (SLiMs) prediction based on genomic single nucleotide variants and structural data
Mariano Martín, F. Brunello, Carlos Pablo Modenutti, Juan Pablo Nicola, Marcelo Adrian Marti
The paper improves SLiM prediction by integrating variant data and structural analysis of SAS impacts, enhancing specificity and variant classification in clinical genomics.
Biochimie · Feb 5, 2022Peer-reviewedMolecular Biology