Pipeline for extracting mutational signatures and their general characterization.
Includes the following processes:
Creation of a list of mutations (optional)
Collection of additional information on variants (context, AID reason, SNV at IG locus)
Extraction of SBS signatures
Adjustment using COSMIC signatures
Reconstruction of signatures
Report with all obtained graphics
As a result, a CSV file is produced with all the mutations found, along with various files associated with the mutational signatures extracted from the samples.
Visualization of mutations in selected genes in human and mouse genomes, highlighting whether there is occurrence in patterns associated with AID contexts.
Peptipedia is a computational platform designed to support the study of peptides and their properties. It hosts the largest database of biologically active peptides reported to date, with approximately 100,000 sequences. This tool characterizes peptides from various perspectives, including physicochemical properties, phylogenetic, and functional attributes. Additionally, it offers a range of computational services for sequence analysis, such as predicting physicochemical properties, phylogenetic and functional characterization, and predictive methods for classifying biological activities. Various computational tools based on machine learning methods have been integrated to facilitate the training of predictive models and pattern identification, promoting the use of such technologies in biotechnological and industrial applications. Currently, work is underway on the second version of the platform, incorporating methods for predicting interactions with T cells and studying promiscuity, as well as developing peptide design rules using deep generative models.