rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics - Bonet, Jaume; Harteveld, Zander; Sesterhenn, Fabian; Scheck, Andreas; Correia, Bruno E. (BMC bioinformatics, 2019)
Keywords: Algorithms; Amino Acid Sequence; Benchmarking; Bioinformatics; Biological research; Biomedical and Life Sciences; Characterization; Circular dichroism; Computation; Computational biology; Computational Biology - methods; Computational Biology/Bioinformatics; Computational protein design; Computer Appl. in Life Sciences; Computer applications; Computer graphics; Computer programs; Computing Methodologies; Data analysis; Datasets; Design; Design analysis; Designers; Dichroism; Domains; Engineers; Graphical representations; Heuristic; Information management; Libraries; Life Sciences; Ligands; Logos; Mathematical models; Methods; Microarrays; Next-generation sequencing; Novels; Protein engineering; Protein folding; Protein research; Protein structural metrics; Protein structure; Proteins; Proteins - chemistry; Python; Python (Programming language); Reproducibility; Reproducibility of Results; rstoolbox; Scoring; Software; Software development; Software industry; Structural analysis; Structural models; Surface plasmon resonance; Switzerland; Scoring; Data analysis; Computational protein design; Protein structural metrics; rstoolbox