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. 2011 Jul 9;39(18):e123. doi: 10.1093/nar/gkr513

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© The Author(s) 2011. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1. — MEAP workflow. The workflow contains modules for data pre-processing, differential expression analysis, and visualization. Data pre-processing uses a novel background estimation model (PM-BayesBG) and is followed by collective quantile normalization and multi-dimensional expression summarization based on user defined data type (probeset, exon, spliced variant or gene). Differential analysis enables finding biologically interesting targets. MEAP also includes web-based visualization for alternatively spliced events. See http://csbi.ltdk.helsinki.fi/meap/example/MEAPvisual/MEAP_visual_homepage.html for more information.