Difference between revisions of "BISON"

 
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The foundation for component interoperability in geWorkbench is 'BISON'' ('''B'''iomedical '''I'''nformatics '''S'''tructured '''ON'''tology), an application-wide data-model for the representation of bioinformatics objects, including both primary data and analysis results. geWorkbench components communicate by exchanging BISON objects, via an underlying event-driven framework.
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BISON borrows concepts from a number of well established domain models, such as [http://www.mged.org/Workgroups/MAGE/mage-om.html MAGE-OM], [http://biojava.org/ BioJava], and [http://www.biopax.org/ BioPax]. Its design strives to achieve the right balance between concrete needs and model expressiveness, to avoid creating a model too complicated to be of practically utility.
  
The tutorials shown on this page provide a quick introduction to the most important features of geWorkbench.  Additional information can be found in the User Guide (in preparation) and in the Online Help section of the program.
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For additional information on BISON, please see the following resources:
 
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* [{{SERVER}}/workbench/api/index.html BISON Javadocs documentation].
All data sets used in the tutorials are available from the [[Download#Tutorial_data | download area]] of our site.
 
 
 
 
 
 
 
===[[Tutorial - Getting_Started | Getting Started]]===
 
Obtaining and installing geWorkbench.  Requirements.
 
 
 
===[[Tutorial - Basics | Basics]]===
 
A brief introduction to the use of geWorkbench.
 
 
 
===[[Tutorial - Projects and Data Files | Projects and Data Files]]===
 
Creating projects, loading microarray data files, merging into one dataset, and saving.
 
 
 
===[[Tutorial - Project Details | Project Details]]===
 
Creating projects, loading microarray data files, merging into one dataset, and saving.
 
 
 
===[[Tutorial - Data Subsets | Data Subsets]]===
 
Subsets of both markers and arrays can be defined for targeted analysis.
 
 
 
===[[Tutorial - Viewing a Microarray Dataset | Viewing a Microarray Dataset]]===
 
Survey of geWorkbench visusaliztion tools for microarray data.
 
 
 
===[[Tutorial - Filtering and Normalizing | Filtering and Normalizing]]===
 
geWorkbench provides numerous methods for filtering and normalizing microarray data.
 
 
 
===[[Tutorial - EVD | Expression Value Distribution]]===
 
View and manipulate a histogram of the distribution of expression values for each array.
 
 
 
===[[Tutorial - Differential Expression | Differential Expression]]===
 
Several variants of the t-test are available.
 
 
 
===[[Tutorial - Clustering | Clustering]]===
 
Data can be clustered using a fast hierarchical clustering routine, as well as SOMs.
 
 
 
===[[Tutorial - Marker Annotations | Marker Annotations]]===
 
Marker annotations can be retrieved, including BioCarta pathway diagrams.
 
 
 
===[[Tutorial - Sequence Retrieval | Sequence Retrieval]]===
 
Genomic sequences for markers can be retrieved for further analysis.
 
 
 
===[[Tutorial - BLAST | BLAST]]===
 
geWorkbench can run BLAST jobs on the JCSB cluster.
 
 
 
===[[Tutorial - Pattern Discovery | Pattern Discovery]]===
 
Upstream seqeunce can be analyzed for conserved sequence patterns.
 
 
 
===[[Tutorial - Promoter Analysis | Promoter Analysis]]===
 
Search a set of sequences against a promoter database.
 
 
 
===[[Tutorial - Reverse Engineering | Reverse Engineering]]===
 
Simple network reverse engineering - microarray datasets can be analyzed for interactions between genes.
 
 
 
===[[Tutorial - ARACNE | ARACNE]]===
 
Formal method for reverse Engineering - microarray datasets can be analyzed for interactions between genes.
 
 
 
===[[Tutorial - Network Browser| Network Browser]]===
 
Provides visualization of adjacency matrix generated by ARACNE, using Cytoscape.
 
 
 
===[[Tutorial - GO Term Enrichment | GO Term Enrichment]]===
 
Determine if particluar Gene Ontology terms are overrepresented in a data subset.
 
 
 
===[[Tutorial - Synteny | Synteny]]===
 
Compare genomic sequence from two different species.
 
 
 
===[[Tutorial - Jmol | Jmol]]===
 
Jmol is a molecular structure viewer for viewing PDB format files.
 

Latest revision as of 00:13, 9 July 2013

The foundation for component interoperability in geWorkbench is 'BISON (Biomedical Informatics Structured ONtology), an application-wide data-model for the representation of bioinformatics objects, including both primary data and analysis results. geWorkbench components communicate by exchanging BISON objects, via an underlying event-driven framework.

BISON borrows concepts from a number of well established domain models, such as MAGE-OM, BioJava, and BioPax. Its design strives to achieve the right balance between concrete needs and model expressiveness, to avoid creating a model too complicated to be of practically utility.

For additional information on BISON, please see the following resources: