PyPropel: a Python-based tool for efficiently processing and characterising protein data - Sun, Jianfeng; Ru, Jinlong; Cribbs, Adam P.; Xiong, Dapeng (BMC bioinformatics, 2025)
Keywords: Algorithms; Amino acid sequence; Amino acids; Analysis; Annotations; Binding sites; Bioinformatics; Biomedical and Life Sciences; Computational biology; Computational Biology - methods; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Data pre-processing; Databases, Protein; Datasets; Life Sciences; Machine Learning; Metagenomics; Methods; Microarrays; Performance evaluation; Programming Languages; Protein features; Proteins; Proteins - chemistry; Quality control; Sequence analysis; Sequence Analysis, Protein - methods; Software; Solvents; Structural bioinformatics; Workflow; United States; Structural bioinformatics; Protein features; Data pre-processing; Sequence analysis; Machine learning