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Visual Annotation of Gene List with Functional Enrichment

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Title: Visual Annotation of Gene List with Functional Enrichment
Author(s): Wen, Jing
Advisor(s): Lu, Hui
Department / Program: Bioengineering
Graduate Major: Bioinformatics
Degree Granting Institution: University of Illinois at Chicago
Degree: MS, Master of Science
Genre: Masters
Subject(s): GeneGIF ListGIF GeneRIF annotation enrichment analysis visualization
Abstract: The genes in NCBI databases are currently annotated with itemized text (Gene Reference Into Function, or GeneRIF). A previous work suggests that the visual presentation can be more effective when time and space are under heavy constraints. In this thesis we first report a novel annotation of the genome information using Web 2.0 technologies: GeneGIF (Gene Graphics Into Function). The users can quickly scan through important functions of each gene from a graph, and then go to detailed pages when they find interesting annotations. The modular implementation makes it easily pluggable into other widely used databases without reprogramming. Then we present another web based tool - ListGIF which derives over represented concepts for a list of genes from biomedical literature. ListGIF supports two literature resources: GeneRIF and Gene Ontology. Our strategy is based on the idea that the significance of a feature is associated with the number of literature co-occurrences among each gene's annotation in the list. To reduce the bias that unbalanced GeneRIF distribution among genes might bring to the result, we provide both gene level and GeneRIF level analysis. Result is also presented in a word-cloud like graph with traceability to original published evidence.
Issue Date: 2012-12-09
Genre: thesis
URI: http://hdl.handle.net/10027/9072
Rights Information: Copyright 2011 Jing Wen
Date Available in INDIGO: 2012-12-09
2014-04-15
Date Deposited: 2011-12
 

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