NDLI: A comparison of community identication algorithms for regulatory network motifs

Content Provider	IEEE Xplore Digital Library
Author	Oliveira, D. Carvalho, M.
Copyright Year	2013
Description	Author affiliation: Florida Inst. of Technol., Melbourne, FL, USA (Oliveira, D.; Carvalho, M.)
Abstract	In the recent years high throughput data about biological processes has become available and thus opened a wide range of possibilities of research in multi-disciplinary areas, like network science. An idea that has been widely accepted is the fact that no life can exist without complex systems formed by interacting macromolecules. Rather than a single gene being responsible for a single phenotype (central dogma), it has been shown that the interaction between several genes is responsible for a given phenotype, a concept called System Biology. Identifying patterns of interactions (motifs) in these complex networks has attracted the attention in the scientific community, given that these networks are often very dense and dynamic. In this work we focus on a particular kind of biological network, a regulatory network where each node is a transcription factor and two nodes are connected if one of them encodes a transcription factor to another one that is regulated by this transcription factor. We focus on a specific kind of motif, a dense overlapping region (DOR) that claims that a set of genes regulated by different transcription factors are more overlapping than expected at a random network. We use different community identification algorithms in order to identify which algorithm best suits to the task of identification of this particular motif.
Sponsorship	IEEE Comput. Soc.
Starting Page	1
Ending Page	6
File Size	530293
Page Count	6
File Format	PDF
ISBN	9781479931637
DOI	10.1109/BIBE.2013.6701654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Communities Clustering algorithms Algorithm design and analysis Decision support systems Signal processing algorithms Optical fibers Entropy
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in