Biomedical Data Mining and Knowledge Discovery

Data generation to knowledge discovery - the road to translational biology

In Life Sciences, the objective of any research is to discover new knowledge about life and enrich the knowledge body. The figure illustrates the lifecycle of knowledge discovery in biological sciences. Biomedical samples collected from species such as virus, bacteria, plant, animal, or human are sequenced using NGS (Next Generation Sequencer). The sequencer generates huge amount of data that needs to be analyzed and knowledge need to be extracted that can be published.

The lifecycle -- from data generation (using Next Gen Sequencers) to deriving knowledge (actionable insights) is a long and complex process and involves various steps that are separate sciences in their own rights. As experts in data mining and knowledge discovery, Geschickten works with organizations to derive Biology.

Our expertise are:

 1.  Data Preprocessing and Selection
 2.  Exploratory Data Analysis & Data Mining
 3.  Data Description and Synthesis
 4.  Extract patterns that are Statistically significant
 5.  Generalize these statistically significant patterns as knowledge