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      <text bytes="6552" sha1="7wqpepkniwzr6d7pynmxqd3bgsibh62" xml:space="preserve">Consult the [//meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.

==COLLABORATIVE: ABI Development: Methodology for Pattern Creation, Imprint Validation, and Discovery from the Annotated Biological Web (PattArAn)==

===Acknowledgement===

 This project is funded by the National Science Foundation Biological Infrastructure [http://www.nsf.gov/div/index.jsp?div=DBI NSF DBI] program.

 [http://nsf.gov/awardsearch/showAward.do?AwardNumber=1147144 UMD award]  [http://nsf.gov/awardsearch/showAward.do?AwardNumber=1146256 U. Iowa award] [http://nsf.gov/awardsearch/showAward.do?AwardNumber=1146300 St. Bonaventure U award]

===Intellectual Merit===

 The project will develop a methodology that exploits the wealth of annotation knowledge, 
 notably Gene Ontology (GO) and Plant Ontology (PO) annotations of Arabidopsis genes.

 Motivated by the availability of rich and as yet insufficiently tapped  collections of gene annotations, 
 the project aims to facilitate the discovery of hidden knowledge that could be the basis of further 
 scientific research.  The methodology will extract patterns of interest from annotation graphs (pattern 
 discovery). Literature-based methods will extract sentences that validate the  biological meaning 
 underlying these patterns (pattern validation). 

 To demonstrate the methodology, the PattArAn tool (Patterns in Arabidopsis Annotations) will be 
 customized for Arabidopsis. PattArAn will provide the user with a graphical presentation of patterns 
 of Arabidopsis genes and associated GO and PO CV terms. Graph data mining techniques and 
 efficient algorithmic solutions to identify dense subgraphs (DSG) and to perform graph 
 summarization (GS) will be developed. Algorithms to mine the literature for  relevant sentences for 
 an extracted pattern (referred to as the imprint) will be developed. PattArAn will enable iterative 
 exploration and will incorporate allied steps such as consulting gene function prediction. 
 The project will involve collaboration with biologists for building and refining annotation graphs, and 
 validating patterns to ensure relevance to their research.

===Broader Impact=== 

 This project brings broad contributions to the Arabidopsis thaliana community; 
 PattArAn may assist Arabidopsis curators to manage GO-PO annotations.  It can 
 also be used to bootstrap an annotation database  for other plant species.  The  
 project will offer significant research and educational experiences for graduate  
 students (University of Maryland and Iowa) and undergraduate students (St. 
 Bonaventure University).  Team members will continue to mentor women and students 
 from under-represented communities, participate in outreach activities, lead a  
 Journal Club, etc. The outcomes from this research project will be disseminated  
 via biology and bioinformatics venues.

==Publications==

 An Evaluation of Metrics to Compute Concept Similarity Based on Evidence from Ontologies
 Guillermo Palma, Eric Haag, Louiqa Raschid, Andreas Thor, Maria Esther Vidal
 Email louiqa@umiacs.umd.edu for a copy.

 PAnG - Finding Patterns in Annotation Graphs
 P. Anderson, J. Benik, L. Raschid, A. Thor and M. E. Vidal
 Proceedings of the ACM SIGMOD International Conference (Demonstration Paper), 2012. [http://www.informatik.uni-trier.de/~ley/db/conf/sigmod/sigmod2012.html#AndersonTBRV12]

 MeSH: a window into full text for document summarization.
 Sanmitra Bhattacharya, Viet Ha-Thuc, Padmini Srinivasan
 Journal of Bioinformatics [ISMB/ECCB] 27(13): 120-128 (2011) [http://www.informatik.uni-trier.de/~ley/db/journals/bioinformatics/bioinformatics27.html#BhattacharyaHS11]

 Link Prediction for Annotation Graphs using Graph Summarization
 Andreas Thor, Philip Anderson, Louiqa Raschid, 
 Saket Navlakha, Barna Saha, Samir Khuller, Xiao-Ning Zhang
 Proceedings of the International Semantic Web Conference 2011. [http://www.informatik.uni-trier.de/~ley/db/conf/semweb/iswc2011-1.html#ThorARNSKZ11]

 Dense Subgraphs with Restrictions and Applications to Gene Annotation Graphs
 Barna Saha and Allison Hoch and Samir Khuller and Louiqa Raschid and Xiao-Ning Zhang 
 In Research in Computational Molecular Biology.
 Lecture Notes in Computer Science 6044 Springer ISBN 978-3-642-12682-6.
 Also Proceedings of RECOMB 2010. Bonnie Berger, editor. Pages 456-472, 2010. [http://www.informatik.uni-trier.de/~ley/db/conf/recomb/recomb2010.html#SahaHKRZ10]

==Visualization Tools and Datasets==

===PattArAn semEP visualization===

===PattArAn DSG+GS graph summary portal for Arabidopsis===

 Arabidopsis genes, GO and PO annotations as of Fall 2012 [http://pattaran.umiacs.umd.edu/]
 This site will let you search for genes based on GO or PO terms and visualize their annotations
 as well as graph summaries.

===PattArAn ALI portal for Arabidopsis===

 This is a manually curated  "ground truth" database corresponding to the literature based imprint 
 for triplets or doublets of elected Arabidopsis genes and their GO and PO annotations.
 [http://pang.umiacs.umd.edu/sentenceutility/]

===PAnG portal for LinkedCT===

 Clinical trials and Condition and Interventions from LinkedCT.org  as of xxx 2012 [http://pang.umiacs.umd.edu/linkedct.html]
 This site will let you search for clinical trials based on conditions and interventions and 
 let you visualize the graphs and graph summaries.

===Dataset===

 Format for semEP input. I picked file names in an arbitrary manner.
 genes.txt - list of genes.
 geneGO.txt - gene-GO annotations; should be in a separate file since it needs to be refreshed.
 GO.txt - contains GO ID, GO term, GO link to AMIGO?
 GOGOdist.txt - distance for pairs of GO terms. [Check with Guillermo re: computing using d_tax code.]

== Summer 2012 Imprint Experiment ==

 Mahmuda Khan's experience with finding the imprints for sentences is described here. 
 [[File:Mahmuda_Summer2001.pptx]]


 Overview of the project and instructions to the supervisors are available here.
 [[File:Overview.docx]]

 Annotation flowchart.
 [[File:FlowchartAnnotation.pdf]]

 Padmini's worksheet [https://docs.google.com/document/d/19ISt8qu4RRnpnCOJOg5H-_u6SWLRHU6RNVHlqo_9bxk/edit]

 DILS poster [http://homepage.cs.uiowa.edu/~psriniva/UMD-UI/DILS_Poster_Final.pptx]

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