
Explore your data with Qiagram
The lifespan of data starts with data generation and ends with achieving concrete insights. There is a step in the middle, however, that is often overlooked: data exploration - the stage of hypothesis generation and decision-making during which the researcher takes a high-level, exploratory view of the available data.
Data Acquisition → Data Exploration → Data Analysis
The Data Exploration stage is often used to determine the availability of "interesting data" that can be used in further analysis. An example exploratory question could be:
How many patients are there in the various data sources in my enterprise that have been diagnosed with a given type of cancer, on a certain medication and had a certain therapy and outcome? From these patients, how many primary and metastatic tumor samples do we have? Do we have any matching primary and metastatic samples? Of these samples, what gene expression and genotyping data are available?
How do you answer questions like these with your current query tool? Do questions get "thrown over the wall" to database experts? How long does it take to get the answer? If your questions change, does the whole process restart from square one?
With Qiagram, you can explore your data:
Come see us at the following events:
Bio-IT World Conference & Expo, Boston, MA. April 24 - 26, 2012
Molecular Medicine Tri-Conference, San Francisco, CA. February 19 - 23, 2012