How to search ArrayExpress
This section describes how to search ArrayExpress for experiments of interest and how to interpret the output.
ArrayExpress can be searched using any keyword (for example RNAi or breast cancer). Search terms consisting of more than one word must be entered inside double quotes, for example "prostate cancer", otherwise the two words will be treated as independent and the search run for the two words separately (in this case 'prostate' AND 'cancer' instead of "prostate cancer"), possibly resulting in an exceedingly long list of search results.
Alternatively, you can start your search by selecting the 'Experiments' option. This will display all the experiments. You will be able to refine your search after this first step (Figure 3).
Browse experiments -The output view
The entire content of the ArrayExpress is now shown (Figure 4). A list of all the experiments is presented ordered by release date; the most recently released experiment is at the top of the list. You can sort the results by clicking on any of the column headings. For example, if you want to sort by species, just click on the 'Organism' column header.
Refine your search
Once you have a list of all the experiments present in ArrayExpress, you can add terms to the search box to refine your search and retrieve only experiments of interest (Figure 5).
Results from your refined search are now displayed (Figure 6). By reading the experiment titles you might identify a particularly interesting experiment and wish to find out more about it. All the information available for an experiment can be easily accessed by clicking on the accession number.
The experiment page
Let's find more detailed information on experiment E-MEXP-862 (Figure 7). The expanded view provides useful links to information such as data files and sample annotation.
Let's continue exploring the sample information (A in Figure 7) for experiment E-MEXP-862.
This view (Figure 8) provides information on sample characteristics and experimental factors that are fundamental to understanding the results obtained in the experiment. Generally, each row corresponds to a sample and columns include sample characteristics and their relationship to the resulting data files. This provides a quick view over the structure of the experiment and the biological questions that the submitters addressed.