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Are you interested in learning about graph databases? The folks at Neo4J published a book and it's free! Here's a link to the download page: http://graphdatabases.com/
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Database representation of graph-structured information is fascinating in its own right.
I have been studying genomics technology in which graphs play a big role, both as information-structure that is the basis of certain algorithms, as well as the data driving visualizations or visually-interesting real-world structures.
As an example, here is a visualization of a protein complex that catches the eye.
See http://en.wikipedia.org/wiki/FOXP2#/media/File:Protein_FOXP2_PDB_2a...
The image is a Richardson diagram which is (mostly) automatically generated from a database describing the molecular structure of the protein. This type of diagram was invented (i.e. originally hand-drawn) by Jane Richardson, PhD.
I wonder if the book "Graph Databases" touches on this.
Presently, I am doing a research study on a particular feature of the epigenome. It involves large DNA databases (actually, structured flat files), elaborate algorithms for sequence correlation, and histone complexes. Each of these involves graph-theoretic representations and inference functions from graph structures.
The "databases" I know for DNA, the transcriptome, pathways, etc. do not lend themselves to conventional SQL, or even noSQL as far as I know to date. (Chime in anyone? )
I will be presenting a paper at the IEEE SouthCon conference in April 2015 which touches on a graph-theoretic feature of certain (sequencing) problems lending itself to massively-parallel-ization of linearly-expressable algorithms.
I am pleased to see a free book on graph databases. Thanks!
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