Data sets of up to 3000 journal abstracts from MEDLINE literature on
the keyword combination `MAPK pathway' and `human' are visualized and
analyzed for mitogen-activated protein kinase (MAPK) pathways. We have
tightly coupled exploratory visualization with information extraction for interactive navigation through scattered information sources, in search of useful facts on MAPK by frequency-based filtering and
amplification. Unlike direct database visualization that operates on
curated data sets, literature visualization has the advantages of
manipulating data sets of a massive scale with a lot less manpower and
effectively responding to the fast cycles of the developments in the
field.
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