Bioinformatics is currently undergoing dramatic changes, as high-throughput laboratory methods lead to changes in key approaches, including sequence analysis, gene expression analysis, protein expression analysis, and protein structure prediction & modeling. High-throughput methodologies in computer biology bioinformatics are extremely complex, and many steps are involved in the conversion of information from low-level information structures (for example, microarray scan images) to statistical databases of expression measures coupled with design & covariate data. It is not possible to say how sensitive the ultimate analyses are to variations or errors in the many steps in the pipeline. Credible work in this domain requires exposure of the entire process.