Figure 1

The conceptual view of MAAMD. Briefly, each dataset among n targeted datasets is analyzed in a loop one by one. Input files are prepared in advance. MAAMD extracts required information from these input files. The targeted dataset is then downloaded and re-organized. A quality control is executed to assist the users to evaluate the sample quality. MAAMD then prepares for meta-analyses by asking the users to select groups, intra-set comparisons. The meta-analyses are then executed and the results are stored at the assigned location. When all targeted datasets have been analyzed, an inter-set comparison can be executed to identify the common regulated genes among datasets.