O projeto constitui o MVP desenvolvido como requisito avaliativo da disciplina de Engenharia de Dados (código 40530010057_20250_02), integrante do curso de Especialização em Data Science and Analytics da Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio).
Repository containing data and structural models for the multi-omics characterization of eIF4E isoforms in cowpea (Vigna unguiculata). Article "Unveiling Three Functionally Diverse Isoforms of eIF4E in Cowpea Through a Multi-Omics Approach" published in Agronomy (MDPI).
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