English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 DetailsSummary
  A Global Approach to Comparative Genomics: Comparison of Functional Annotation over the Taxonomic Tree

Schlicker, A. (2005). A Global Approach to Comparative Genomics: Comparison of Functional Annotation over the Taxonomic Tree. Master Thesis, Universität des Saarlandes, Saarbrücken.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-258D-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-D75F-E
Genre: Thesis

Files

show Files
hide Files
:
thesis.pdf (Any fulltext), 5MB
 
File Permalink:
-
Name:
thesis.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Informatics, MSIN; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Schlicker, Andreas1, 2, Author           
Domingues, Francisco S.1, Advisor           
Lengauer, Thomas1, Referee           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551              

Content

show
hide
Free keywords: -
 Abstract: Genome sequencing projects produce large amounts of data that are stored in sequence databases. Entries in these databases are annotated using the results of different experiments and computational methods. These methods usually rely on homology detection based on sequence similarity searches. Gene Ontology (GO) provides a standard vocabulary of functional terms, and allows a coherent annotation of gene products. These annotations can be used as a basis for new methods that compare gene products on the basis of their molecular function and biological role. In this thesis, we present a new approach for integrating the species taxonomy, protein family classifications and GO annotations. We implemented a database and a client application, GOTaxExplorer, that can be used to perform queries with a simplified language and to process and visualize the results. It allows to compare different taxonomic groups regarding the protein families or the protein functions associated with the different genomes. We developed a method for comparing GO annotations which includes a measure of functional similarity between gene products. The method was able to find functional relationships even if the proteins show no significant sequence similarity. We provide results for different application scenarios, in particular for the identification of new drug targets.

Details

show
hide
Language(s): eng - English
 Dates: 20052005
 Publication Status: Issued
 Pages: -
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 279036
Other: Local-ID: C125673F004B2D7B-76B88A36B2C63828C12570EB004472E7-Schlicker2005
 Degree: Master

Event

show

Legal Case

show

Project information

show

Source

show